At this repository, we provide the updated papers on federated learning. The papers are collected from the dblp database (all venues). The papers are updated until May 11th, 2024.
For searching the papers, you can visit the website.
If you found it useful, please give us a star and fork it.
We divide the papers into following categories:
- Benchmark, Dataset and Survey
- Statistical Challenges: data distribution heterogeneity and label deficiency
- Trustworthiness: security, privacy, fairness, incentive mechanism, etc.
- System Challenges: communication and computational resource constrained, software and hardware heterogeneity, and FL system
- Models and Applications
- Others
We only provide the papers in Benchmark, Dataset and Survey category. The papers in the other categories can be found in the website.
| No. | Title | Venue | Year | Author | Volume |
|---|---|---|---|---|---|
| 1 | A Model Personalization-based Federated Learning Approach for Heterogeneous Participants with Variability in the Dataset. | ACM Trans. Sens. Networks | 2024 | Rahul Mishra 0001, Hari Prabhat Gupta | 20 |
| 2 | Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: a survey. | Ad Hoc Networks | 2024 | Saqib Ali, Qianmu Li, Abdullah Yousafzai | 152 |
| 3 | A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications. | CoRR | 2024 | Wei Guo, Fuzhen Zhuang, Xiao Zhang 0015, Yiqi Tong, Jin Dong | abs/2403.01387 |
| 4 | A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective. | CoRR | 2024 | Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson | abs/2402.03688 |
| 5 | A Survey on Efficient Federated Learning Methods for Foundation Model Training. | CoRR | 2024 | Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen | abs/2401.04472 |
| 6 | A Survey on Federated Learning in Intelligent Transportation Systems. | CoRR | 2024 | Rongqing Zhang 0001, Hanqiu Wang, Bing Li 0025, Xiang Cheng, Liuqing Yang 0001 | abs/2403.07444 |
| 7 | Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data. | CoRR | 2024 | Jose L. Salmeron, Irina Arévalo, Antonio Ruiz-Celma | abs/2402.10135 |
| 8 | Decentralized Federated Learning: A Survey on Security and Privacy. | CoRR | 2024 | Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang 0004, Qiang Yang | abs/2401.17319 |
| 9 | Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning. | CoRR | 2024 | Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou | abs/2403.19178 |
| 10 | How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study. | CoRR | 2024 | Natalija Mitic, Apostolos Pyrgelis, Sinem Sav | abs/2402.16087 |
| 11 | Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities. | CoRR | 2024 | Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour | abs/2401.03609 |
| 12 | Survey of Privacy Threats and Countermeasures in Federated Learning. | CoRR | 2024 | Masahiro Hayashitani, Junki Mori, Isamu Teranishi | abs/2402.00342 |
| 13 | Exploring Threats, Defenses, and Privacy-Preserving Techniques in Federated Learning: A Survey. | Computer | 2024 | Ren-Yi Huang, G. Dumindu Samaraweera, J. Morris Chang | 57 |
| 14 | Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. | Eng. Appl. Artif. Intell. | 2024 | Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham 0001, Khoa D. Doan, Kok-Seng Wong | 127 |
| 15 | A survey on federated learning: a perspective from multi-party computation. | Frontiers Comput. Sci. | 2024 | Fengxia Liu, Zhiming Zheng 0001, Yexuan Shi, Yongxin Tong, Yi Zhang | 18 |
| 16 | Model aggregation techniques in federated learning: A comprehensive survey. | Future Gener. Comput. Syst. | 2024 | Pian Qi, Diletta Chiaro, Antonella Guzzo, Michele Ianni, Giancarlo Fortino, Francesco Piccialli | 150 |
| 17 | Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets. | Future Internet | 2024 | Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu, Han-Chieh Chao | 16 |
| 18 | A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. | ICACT | 2024 | Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek | |
| 19 | A Survey on Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks. | IEEE Open J. Commun. Soc. | 2024 | Sree Krishna Das, Benoît Champagne 0001, Ioannis N. Psaromiligkos, Yunlong Cai | 5 |
| 20 | Benchmark for Personalized Federated Learning. | IEEE Open J. Comput. Soc. | 2024 | Koji Matsuda, Yuya Sasaki 0001, Chuan Xiao 0001, Makoto Onizuka | 5 |
| 21 | Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. | IEEE Trans. Artif. Intell. | 2024 | Saeed Vahidian, Mahdi Morafah, Chen Chen 0001, Mubarak Shah, Bill Lin 0001 | 5 |
| 22 | Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. | IEEE Trans. Intell. Veh. | 2024 | Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, Stanislaw H. Zak, Ziran Wang | 9 |
| 23 | Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT. | IEEE Trans. Netw. Sci. Eng. | 2024 | Jihao Yang, Wen Jiang 0002, Laisen Nie | 11 |
| 24 | The Impact of Adversarial Attacks on Federated Learning: A Survey. | IEEE Trans. Pattern Anal. Mach. Intell. | 2024 | Kummari Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi | 46 |
| 25 | Joint Device Participation, Dataset Management, and Resource Allocation in Wireless Federated Learning via Deep Reinforcement Learning. | IEEE Trans. Veh. Technol. | 2024 | Jinlian Chen, Jun Zhang, Nan Zhao 0006, Yiyang Pei, Ying-Chang Liang, Dusit Niyato | 73 |
| 26 | Fairness and privacy preserving in federated learning: A survey. | Inf. Fusion | 2024 | Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | 105 |
| 27 | Aggregation techniques in wireless communication using federated learning: a survey. | Int. J. Wirel. Mob. Comput. | 2024 | Gaganbir Kaur, Surender K. Grewal | 26 |
| 28 | Privacy preservation using optimized Federated Learning: A critical survey. | Intell. Decis. Technol. | 2024 | Yogita Sachin Narule, Kalpana Sunil Thakre | 18 |
| 29 | Surveying federated learning approaches through a multi-criteria categorization. | Multim. Tools Appl. | 2024 | Loredana Caruccio, Gaetano Cimino, Vincenzo Deufemia, Gianpaolo Iuliano, Roberto Stanzione | 83 |
| 30 | A survey on vulnerability of federated learning: A learning algorithm perspective. | Neurocomputing | 2024 | Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng 0001 | 573 |
| 31 | Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact. | PDP | 2024 | Daniela Annunziata, Marzia Canzaniello, Martina Savoia, Salvatore Cuomo, Francesco Piccialli | |
| 32 | FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. | Patterns | 2024 | Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis | 5 |
| 33 | A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning. | Sensors | 2024 | Tesfahunegn Minwuyelet Mengistu, Taewoon Kim 0001, Jenn-Wei Lin | 24 |
| 34 | Adaptive Dataset Management Scheme for Lightweight Federated Learning in Mobile Edge Computing. | Sensors | 2024 | Jingyeom Kim, Juneseok Bang, Joohyung Lee 0001 | 24 |
| 35 | FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. | ACL | 2023 | Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu | |
| 36 | Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey. | ACM Comput. Surv. | 2023 | Wael Issa, Nour Moustafa, Benjamin P. Turnbull, Nasrin Sohrabi, Zahir Tari | 55 |
| 37 | Blockchain-enabled Federated Learning: A Survey. | ACM Comput. Surv. | 2023 | Youyang Qu, Md. Palash Uddin, Chenquan Gan, Yong Xiang 0001, Longxiang Gao, John Yearwood | 55 |
| 38 | Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. | ACM Comput. Surv. | 2023 | Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel | 55 |
| 39 | Federated Learning for Smart Healthcare: A Survey. | ACM Comput. Surv. | 2023 | Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding 0001, Aruna Seneviratne, Zihuai Lin, Octavia A. Dobre, Won-Joo Hwang | 55 |
| 40 | A Survey on Soft Computing Techniques for Federated Learning- Applications, Challenges and Future Directions. | ACM J. Data Inf. Qual. | 2023 | Supriya Y, Thippa Reddy Gadekallu | 15 |
| 41 | Evaluation of Federated Learning Techniques on Edge Devices Using Synthetic Medical Imaging Datasets. | AIPR | 2023 | Ahmad Alhonainy, Praveen Rao 0001 | |
| 42 | Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications. | Adv. Hum. Comput. Interact. | 2023 | Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, Santosh Kumar 0006 | 2023 |
| 43 | Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning. | Appl. Intell. | 2023 | Shuang Dai, Fanlin Meng | 53 |
| 44 | Federated learning for 6G-enabled secure communication systems: a comprehensive survey. | Artif. Intell. Rev. | 2023 | Deepika Sirohi, Neeraj Kumar 0001, Prashant Singh Rana, Sudeep Tanwar, Rahat Iqbal, Mohammad Hijji | 56 |
| 45 | Realization for Implementing Federated Learning Based Intrusion Detection with Non-IID IoT Datasets. | CCIOT | 2023 | Ping-Yen Lin, Lin-Huang Chang, Tsung-Han Lee | |
| 46 | Responsible and Effective Federated Learning in Financial Services: A Comprehensive Survey. | CDC | 2023 | Yueyue Shi, Hengjie Song, Jun Xu | |
| 47 | A Comprehensive Survey On Client Selections in Federated Learning. | CoRR | 2023 | Ala Gouissem, Zina Chkirbene, Ridha Hamila | abs/2311.06801 |
| 48 | A Federated Learning Benchmark for Drug-Target Interaction. | CoRR | 2023 | Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò | abs/2302.07684 |
| 49 | A Generalized Look at Federated Learning: Survey and Perspectives. | CoRR | 2023 | Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae, Zhaohui Yang | abs/2303.14787 |
| 50 | A Survey for Federated Learning Evaluations: Goals and Measures. | CoRR | 2023 | Di Chai, Leye Wang, Liu Yang 0008, Junxue Zhang 0001, Kai Chen 0005, Qiang Yang 0001 | abs/2308.11841 |
| 51 | A Survey of Federated Evaluation in Federated Learning. | CoRR | 2023 | Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui | abs/2305.08070 |
| 52 | A Survey of Federated Learning for Connected and Automated Vehicles. | CoRR | 2023 | Vishnu Pandi Chellapandi, Liangqi Yuan, Stanislaw H. Zak, Ziran Wang | abs/2303.10677 |
| 53 | A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration. | CoRR | 2023 | Yixing Huang, Christoph Bert, Ahmed Gomaa, Rainer Fietkau, Andreas K. Maier, Florian Putz | abs/2309.17192 |
| 54 | A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. | CoRR | 2023 | Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King | abs/2302.10637 |
| 55 | A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency. | CoRR | 2023 | Jiawei Shao, Zijian Li 0002, Wenqiang Sun, Tailin Zhou, Yuchang Sun 0001, Lumin Liu, Zehong Lin, Jun Zhang 0004 | abs/2307.10655 |
| 56 | A Survey on Blockchain-Based Federated Learning and Data Privacy. | CoRR | 2023 | Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye, Samin Dehbashi, Akbar Siami Namin | abs/2306.17338 |
| 57 | A Survey on Class Imbalance in Federated Learning. | CoRR | 2023 | Jing Zhang, Chuanwen Li, Jianzgong Qi, Jiayuan He 0002 | abs/2303.11673 |
| 58 | A Survey on Decentralized Federated Learning. | CoRR | 2023 | Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei | abs/2308.04604 |
| 59 | A Survey on Federated Learning Poisoning Attacks and Defenses. | CoRR | 2023 | Junchuan Liang, Rong Wang, Chaosheng Feng, Chin-Chen Chang 0001 | abs/2306.03397 |
| 60 | A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. | CoRR | 2023 | Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, Thien Huynh-The, Rajeswari Chengoden, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Madhusanka Liyanage | abs/2304.00524 |
| 61 | A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing. | CoRR | 2023 | Ervin Moore, Ahmed Imteaj, Shabnam Rezapour, M. Hadi Amini | abs/2303.13727 |
| 62 | A Survey on Vertical Federated Learning: From a Layered Perspective. | CoRR | 2023 | Liu Yang 0008, Di Chai, Junxue Zhang 0001, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen 0005 | abs/2304.01829 |
| 63 | Bayesian Federated Learning: A Survey. | CoRR | 2023 | Longbing Cao, Hui Chen 0026, Xuhui Fan 0001, João Gama 0001, Yew-Soon Ong, Vipin Kumar 0001 | abs/2304.13267 |
| 64 | Blockchained Federated Learning for Internet of Things: A Comprehensive Survey. | CoRR | 2023 | Yanna Jiang, Baihe Ma, Xu Wang 0004, Ping Yu, Guangsheng Yu, Zhe Wang, Wei Ni 0001, Ren Ping Liu | abs/2305.04513 |
| 65 | DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. | CoRR | 2023 | Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen | abs/2310.14906 |
| 66 | Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey. | CoRR | 2023 | Yichen Wan, Youyang Qu, Wei Ni 0001, Yong Xiang 0001, Longxiang Gao, Ekram Hossain 0001 | abs/2312.08667 |
| 67 | Decentralized Federated Learning: A Survey and Perspective. | CoRR | 2023 | Liangqi Yuan, Lichao Sun 0001, Philip S. Yu, Ziran Wang | abs/2306.01603 |
| 68 | FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets. | CoRR | 2023 | Fatemeh Tavakoli, D. B. Emerson, John Jewell, Amrit Krishnan, Yuchong Zhang 0002, Amol A. Verma, Fahad Razak | abs/2309.16825 |
| 69 | FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems. | CoRR | 2023 | Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen | abs/2306.05172 |
| 70 | Fairness and Privacy-Preserving in Federated Learning: A Survey. | CoRR | 2023 | Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | abs/2306.08402 |
| 71 | FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. | CoRR | 2023 | Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao 0001, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang 0002 | abs/2310.00109 |
| 72 | FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. | CoRR | 2023 | Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu 0036, Liang Wang, Bo Zheng 0007 | abs/2305.08328 |
| 73 | FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. | CoRR | 2023 | Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun 0001, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He 0001, Salman Avestimehr | abs/2306.04959 |
| 74 | FedMultimodal: A Benchmark For Multimodal Federated Learning. | CoRR | 2023 | Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta 0001, Mi Zhang 0002, Salman Avestimehr, Shrikanth Narayanan | abs/2306.09486 |
| 75 | FedNoisy: Federated Noisy Label Learning Benchmark. | CoRR | 2023 | Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu | abs/2306.11650 |
| 76 | FedPDC: Federated Learning for Public Dataset Correction. | CoRR | 2023 | Yuquan Zhang, Yongquan Zhang | abs/2302.12503 |
| 77 | FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning. | CoRR | 2023 | Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev | abs/2310.07807 |
| 78 | Federated Continual Learning via Knowledge Fusion: A Survey. | CoRR | 2023 | Xin Yang 0012, Hao Yu, Xin Gao, Hao Wang, Junbo Zhang, Tianrui Li 0001 | abs/2312.16475 |
| 79 | Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation. | CoRR | 2023 | Fabiola Espinosa Castellon, Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Aurélien Mayoue, Antoine Souloumiac, Cédric Gouy-Pailler | abs/2309.07670 |
| 80 | Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. | CoRR | 2023 | Siqi Li 0004, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu 0003 | abs/2311.03417 |
| 81 | Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. | CoRR | 2023 | Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel | abs/2307.09182 |
| 82 | Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. | CoRR | 2023 | Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du 0001, Qiang Yang | abs/2311.06750 |
| 83 | Federated Learning for Medical Image Analysis: A Survey. | CoRR | 2023 | Hao Guan, Mingxia Liu 0001 | abs/2306.05980 |
| 84 | Federated Learning for Metaverse: A Survey. | CoRR | 2023 | Yao Chen, Shan Huang, Wensheng Gan, Gengsen Huang, Yongdong Wu | abs/2303.17987 |
| 85 | Federated Learning in IoT: a Survey from a Resource-Constrained Perspective. | CoRR | 2023 | Ishmeet Kaur, Adwaita Janardhan Jadhav | abs/2308.13157 |
| 86 | Federated Learning without Full Labels: A Survey. | CoRR | 2023 | Yilun Jin, Yang Liu, Kai Chen 0005, Qiang Yang 0001 | abs/2303.14453 |
| 87 | Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications. | CoRR | 2023 | Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, Behrouz Maham, Tohid Alizadeh, Sina Ebrahimi | abs/2310.05269 |
| 88 | NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data. | CoRR | 2023 | Kangning Yin, Zhen Ding, Zhihua Dong, Dongsheng Chen, Jie Fu, Xinhui Ji, Guangqiang Yin, Zhiguo Wang | abs/2306.15932 |
| 89 | Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. | CoRR | 2023 | Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh | abs/2303.06180 |
| 90 | Poisoning Attacks and Defenses in Federated Learning: A Survey. | CoRR | 2023 | Subhash Sagar, Chang-Sun Li, Seng W. Loke, Jinho Choi 0001 | abs/2301.05795 |
| 91 | Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey. | CoRR | 2023 | Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Meng Han, Liang Zhao, Giovanna Sannino, Daniel Macêdo Batista | abs/2303.14544 |
| 92 | Ransomware Detection Using Federated Learning with Imbalanced Datasets. | CoRR | 2023 | Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, G. Javidi, A. Selcuk Uluagac, Mohamed Rahouti, Elias Bou-Harb, Morteza Safaei Pour | abs/2311.07760 |
| 93 | Recent Advances on Federated Learning: A Systematic Survey. | CoRR | 2023 | Bingyan Liu, Nuoyan Lv, Yuanchun Guo, Yawen Li | abs/2301.01299 |
| 94 | SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. | CoRR | 2023 | Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh | abs/2301.07074 |
| 95 | Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. | CoRR | 2023 | Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh | abs/2301.06683 |
| 96 | Survey of Federated Learning Models for Spatial-Temporal Mobility Applications. | CoRR | 2023 | Yacine Belal, Sonia Ben Mokhtar, Hamed Haddadi, Jaron Wang, Afra Mashhadi | abs/2305.05257 |
| 97 | Survey of Knowledge Distillation in Federated Edge Learning. | CoRR | 2023 | Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu 0001, Xuefeng Jiang, Runhan Li | abs/2301.05849 |
| 98 | Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. | CoRR | 2023 | Jiajun Wu 0017, Steve Drew 0001, Fan Dong, Zhuangdi Zhu, Jiayu Zhou | abs/2302.02573 |
| 99 | Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients. | CoRR | 2023 | Pratik Agrawal, Philipp Wiesner, Odej Kao | abs/2308.08270 |
| 100 | Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning. | CoRR | 2023 | Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett | abs/2307.09619 |
| 101 | Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives. | CoRR | 2023 | abs/2307.02140 | |
| 102 | Trustworthy Federated Learning: A Survey. | CoRR | 2023 | Asadullah Tariq, Mohamed Adel Serhani, Farag M. Sallabi, Tariq Qayyum, Ezedin Salem Barka, Khaled A. Shuaib | abs/2305.11537 |
| 103 | Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. | CoRR | 2023 | Yuqi Jia, Saeed Vahidian, Jingwei Sun 0002, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen 0001 | abs/2312.01537 |
| 104 | VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. | CoRR | 2023 | Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu 0165, Guangnan Ye, Ya-Qin Zhang | abs/2310.09827 |
| 105 | VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. | CoRR | 2023 | Zhaomin Wu, Junyi Hou, Bingsheng He | abs/2307.02040 |
| 106 | A reinforcement federated learning based strategy for urinary disease dataset processing. | Comput. Biol. Medicine | 2023 | Saleem Ahmed, Tor-Morten Grønli, Abdullah Lakhan, Yi Chen, Guoxi Liang | 163 |
| 107 | A survey on federated learning for security and privacy in healthcare applications. | Comput. Commun. | 2023 | Kristtopher Kayo Coelho, Michele Nogueira, Alex Borges Vieira, Edelberto F. Silva, José Augusto Miranda Nacif | 207 |
| 108 | Asynchronous federated learning on heterogeneous devices: A survey. | Comput. Sci. Rev. | 2023 | Chenhao Xu, Youyang Qu, Yong Xiang 0001, Longxiang Gao | 50 |
| 109 | Federated Learning for Medical Images Analysis: A Meta Survey. | DASC/PiCom/CBDCom/CyberSciTech | 2023 | Asaf Raza, Antonella Guzzo, Giancarlo Fortino | |
| 110 | Shapley-value-based Contribution Evaluation in Federated Learning: A Survey. | DTPI | 2023 | Haolin Zhu, Ziye Li, Dingzhi Zhong, Cheng Li, Yong Yuan | |
| 111 | Enhancing Intrusion detection: Leveraging Federated Learning and Hybrid Machine Learning Algorithms On ToN_IoT Dataset. | FIT | 2023 | Faiza Naeem, Asad Waqar Malik, Safdar Abbas Khan, Farzana Jabeen | |
| 112 | A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. | FMEC | 2023 | William Lindskog, Christian Prehofer | |
| 113 | Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G. | Future Gener. Comput. Syst. | 2023 | Saeed Hamood Alsamhi, Alexey V. Shvetsov, Ammar Hawbani, Svetlana V. Shvetsova, Santosh Kumar 0006, Liang Zhao 0004 | 148 |
| 114 | A Survey on Blockchain-Based Federated Learning. | Future Internet | 2023 | Lang Wu, Weijian Ruan, Jinhui Hu, Yaobin He | 15 |
| 115 | Federated Learning for Human Activity Recognition on the MHealth Dataset. | ICAISC | 2023 | Sergio Sanchez, Javier Machacuay, Mario Quinde | |
| 116 | FedAudio: A Federated Learning Benchmark for Audio Tasks. | ICASSP | 2023 | Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang 0002, Shrikanth S. Narayanan, Salman Avestimehr | |
| 117 | Generalized framework using Federated Learning for tomato disease classification over unbalanced dataset. | ICCTA | 2023 | Dibyanarayan Hazra, Suneet Kumar Gupta 0001, Umesh Gupta, Mohit Agarwal 0003 | |
| 118 | Benchmarking Federated Learning Frameworks for Medical Imaging Tasks. | ICIAP Workshops | 2023 | ||
| 119 | Federated Learning from Small Datasets. | ICLR | 2023 | Michael Kamp, Jonas Fischer, Jilles Vreeken | |
| 120 | A Survey on Federated Learning Technology. | ICMAI | 2023 | Xianghan Zheng, Yimi Chen, Zhengzheng Li, Renjie He | |
| 121 | A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions. | IEEE Access | 2023 | Zahraa K. Taha, Chong Tak Yaw, Johnny Siaw Paw Koh, Sieh Kiong Tiong, Kumaran Kadirgama, Foo Benedict, Jian-Ding Tan, Yogendra Balasubramaniam | 11 |
| 122 | A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning. | IEEE Access | 2023 | Haider Ali, Dian Chen 0007, Matthew Harrington, Nathaniel Salazar, Mohannad Al Ameedi, Ahmad Faraz Khan 0001, Ali Raza Butt, Jin-Hee Cho | 11 |
| 123 | A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends. | IEEE Access | 2023 | Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes | 11 |
| 124 | FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey. | IEEE Access | 2023 | Joseph Bamidele Awotunde, Samarendra Nath Sur, Rasheed Gbenga Jimoh, Dayo Reuben Aremu, Dinh-Thuan Do, Byung Moo Lee | 11 |
| 125 | IoT Malware Analysis Using Federated Learning: A Comprehensive Survey. | IEEE Access | 2023 | Madumitha Venkatasubramanian, Arash Habibi Lashkari, Saqib Hakak | 11 |
| 126 | Poisoning Attacks in Federated Learning: A Survey. | IEEE Access | 2023 | Geming Xia, Jian Chen, Chaodong Yu, Jun Ma | 11 |
| 127 | Offloading Using Traditional Optimization and Machine Learning in Federated Cloud-Edge-Fog Systems: A Survey. | IEEE Commun. Surv. Tutorials | 2023 | Binayak Kar, Widhi Yahya, Ying-Dar Lin, Asad Ali | 25 |
| 128 | A Survey of the Social Internet of Vehicles: Secure Data Issues, Solutions, and Federated Learning. | IEEE Intell. Transp. Syst. Mag. | 2023 | Ling Xing, Pengcheng Zhao, Jianping Gao, Honghai Wu, Huahong Ma | 15 |
| 129 | A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions. | IEEE Internet Things J. | 2023 | Sarhad Arisdakessian, Omar Abdel Wahab 0001, Azzam Mourad, Hadi Otrok, Mohsen Guizani | 10 |
| 130 | Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems. | IEEE J. Biomed. Health Informatics | 2023 | Amneh Alamleh, Osamah Shihab Albahri, A. A. Zaidan 0001, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, B. B. Zaidan, Sarah Qahtan, H. A. Alsatar, Mohammed S. Al-Samarraay, Ali Najm Jasim | 27 |
| 131 | Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey. | IEEE J. Biomed. Health Informatics | 2023 | Mansoor Ali, Faisal Naeem, Muhammad Tariq, Georges Kaddoum | 27 |
| 132 | Blockchain-Based Federated Learning: A Systematic Survey. | IEEE Netw. | 2023 | Junqin Huang, Linghe Kong, Guihai Chen, Qiao Xiang, Xi Chen 0009, Xue (Steve) Liu | 37 |
| 133 | Communication-Efficient and Attack-Resistant Federated Edge Learning With Dataset Distillation. | IEEE Trans. Cloud Comput. | 2023 | Yanlin Zhou, Xiyao Ma, Dapeng Oliver Wu, Xiaolin Li 0001 | 11 |
| 134 | Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges. | IEEE Trans. Emerg. Top. Comput. Intell. | 2023 | Mohammad Al-Quraan, Lina S. Mohjazi, Lina Bariah, Anthony Centeno, Ahmed Zoha, Kamran Arshad, Khaled Assaleh 0001, Sami Muhaidat, Mérouane Debbah, Muhammad Ali Imran 0001 | 7 |
| 135 | A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. | IEEE Trans. Knowl. Data Eng. | 2023 | Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu 0014, Bingsheng He | 35 |
| 136 | Base Station Dataset-Assisted Broadband Over-the-Air Aggregation for Communication-Efficient Federated Learning. | IEEE Trans. Wirel. Commun. | 2023 | Jun-Pyo Hong, Sangjun Park, Wan Choi 0001 | 22 |
| 137 | Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. | IJCNN | 2023 | Rui Song 0007, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz 0001, Alois Knoll | |
| 138 | Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image Datasets. | ISNCC | 2023 | Khalid Mahmoud Mohammad Dolaat, Aiman Erbad, Muhammad Ibrar | |
| 139 | Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. | Inf. Fusion | 2023 | Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara | 90 |
| 140 | Federated learning in smart cities: Privacy and security survey. | Inf. Sci. | 2023 | Rasha Al-Huthaifi, Tianrui Li 0001, Wei Huang, Jin Gu, Chongshou Li | 632 |
| 141 | A survey on federated learning: challenges and applications. | Int. J. Mach. Learn. Cybern. | 2023 | Jie Wen, Zhixia Zhang, Yang Lan, Zhihua Cui, Jianghui Cai, Wensheng Zhang 0002 | 14 |
| 142 | Communication and computation efficiency in Federated Learning: A survey. | Internet Things | 2023 | Omair Rashed Abdulwareth Almanifi, Chee-Onn Chow, Mau-Luen Tham, Joon Huang Chuah, Jeevan Kanesan | 22 |
| 143 | Towards efficient communications in federated learning: A contemporary survey. | J. Frankl. Inst. | 2023 | Zihao Zhao, Yuzhu Mao, Yang Liu 0165, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding | 360 |
| 144 | FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning. | MILCOM | 2023 | Pratyay Kumar, Jiefei Liu, Abu Saleh Md Tayeen, Satyajayant Misra, Huiping Cao, Jayashree Harikumar, Oscar Perez | |
| 145 | Federated Learning on Multimodal Data: A Comprehensive Survey. | Mach. Intell. Res. | 2023 | Yi-Ming Lin, Yuan Gao, Maoguo Gong, Sijia Zhang, Yuan-Qiao Zhang, Zhi-Yuan Li | 20 |
| 146 | A Survey of Edge Computing Resource Allocation Strategies Based on Federated Learning. | NaNA | 2023 | Siyuan Ni, Yuanhang He, Lei Chen, Yuyao Wang, Fei Yu | |
| 147 | Improved Algorithm for Image Classification Datasets Using Federated Transfer Learning. | PAAP | 2023 | Yifeng He, Yi Yang, Tao Yao, Wenwei He | |
| 148 | Pooling critical datasets with Federated Learning. | PDP | 2023 | Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci | |
| 149 | Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey. | SACI | 2023 | Michal Stano, Ladislav Hluchý, Martin Bobák 0001, Peter Krammer, Viet D. Tran | |
| 150 | A Survey on Bias Mitigation in Federated Learning. | SSCI | 2023 | Bassey Ude, Olusola Tolulope Odeyomi, Kaushik Roy 0003, Xiaohong Yuan | |
| 151 | Blockchain-Based Federated Learning System: A Survey on Design Choices. | Sensors | 2023 | Yustus Eko Oktian, Sang-Gon Lee | 23 |
| 152 | Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey. | Sensors | 2023 | Muhammad Asad 0002, Saima Shaukat, Dou Hu, Zekun Wang, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada | 23 |
| 153 | Multimodal Federated Learning: A Survey. | Sensors | 2023 | Liwei Che, Jiaqi Wang 0002, Yao Zhou, Fenglong Ma | 23 |
| 154 | Benchmarking Client Selection Methods in Non-IID Federated Learning Scenarios. | WINCOM | 2023 | Mohamed M'Haouach, Mouad Choukhairi, Khalid Fardousse | |
| 155 | A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. | WWW | 2023 | Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King | |
| 156 | A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions. | ACM Comput. Surv. | 2022 | Xuefei Yin, Yanming Zhu 0001, Jiankun Hu | 54 |
| 157 | Decentralised Learning in Federated Deployment Environments: A System-Level Survey. | ACM Comput. Surv. | 2022 | Paolo Bellavista, Luca Foschini 0001, Alessio Mora | 54 |
| 158 | The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. | ACM Trans. Intell. Syst. Technol. | 2022 | Sixu Hu, Yuan Li, Xu Liu 0014, Qinbin Li, Zhaomin Wu, Bingsheng He | 13 |
| 159 | An Evaluation of Federated Learning Techniques for Secure and Privacy-Preserving Machine Learning on Medical Datasets. | AIPR | 2022 | Abdulkadir Korkmaz, Ahmad Alhonainy, Praveen Rao 0001 | |
| 160 | Decentralized Federated Learning: A Comprehensive Survey and a New Blockchain-based Data Evaluation Scheme. | BCCA | 2022 | Laveen Bhatia, Saeed Samet | |
| 161 | Examining Speaker and Keyword Uniqueness: Partitioning Keyword Spotting Datasets for Federated Learning with the Largest Differencing Method. | BNAIC/BENELEARN | 2022 | Paul C. Wallbott, Sascha Grollmisch, Thomas Köllmer | |
| 162 | Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. | BrainLes@MICCAI | 2022 | Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley | |
| 163 | A Benchmark for Federated Hetero-Task Learning. | CoRR | 2022 | Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li | abs/2206.03436 |
| 164 | A Comprehensive Survey on Federated Learning: Concept and Applications. | CoRR | 2022 | Dhurgham Hassan Mahlool, Mohammed Hamzah Abed | abs/2201.09384 |
| 165 | A Survey on Heterogeneous Federated Learning. | CoRR | 2022 | Dashan Gao, Xin Yao, Qiang Yang | abs/2210.04505 |
| 166 | A Survey on Offloading in Federated Cloud-Edge-Fog Systems with Traditional Optimization and Machine Learning. | CoRR | 2022 | Binayak Kar, Widhi Yahya, Ying-Dar Lin, Asad Ali | abs/2202.10628 |
| 167 | A Survey on Participant Selection for Federated Learning in Mobile Networks. | CoRR | 2022 | Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao 0001 | abs/2207.03681 |
| 168 | CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning. | CoRR | 2022 | Minh N. H. Nguyen, Huy Q. Le, Shashi Raj Pandey, Choong Seon Hong | abs/2204.01542 |
| 169 | Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. | CoRR | 2022 | Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu 0001 | abs/2202.06414 |
| 170 | FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. | CoRR | 2022 | Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He 0001, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva 0001, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux | abs/2210.04620 |
| 171 | Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. | CoRR | 2022 | Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen 0022, Jundong Li | abs/2207.11812 |
| 172 | Federated Learning Attacks and Defenses: A Survey. | CoRR | 2022 | Yao Chen, Yijie Gui, Hong Lin, Wensheng Gan, Yongdong Wu | abs/2211.14952 |
| 173 | Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms. | CoRR | 2022 | Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif | abs/2207.02337 |
| 174 | From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. | CoRR | 2022 | Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh | abs/2211.06212 |
| 175 | Improving the Robustness of Federated Learning for Severely Imbalanced Datasets. | CoRR | 2022 | Debasrita Chakraborty, Ashish Ghosh | abs/2204.13414 |
| 176 | Motley: Benchmarking Heterogeneity and Personalization in Federated Learning. | CoRR | 2022 | Shanshan Wu, Tian Li 0005, Zachary Charles, Yu Xiao, Ken Ziyu Liu, Zheng Xu 0002, Virginia Smith | abs/2206.09262 |
| 177 | Privacy-Preserving Aggregation in Federated Learning: A Survey. | CoRR | 2022 | Ziyao Liu, Jiale Guo, Wenzhuo Yang, Jiani Fan, Kwok-Yan Lam, Jun Zhao 0007 | abs/2203.17005 |
| 178 | Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning. | CoRR | 2022 | Rahul Mishra 0001, Hari Prabhat Gupta, Tanima Dutta, Sajal K. Das 0001 | abs/2209.01417 |
| 179 | UniFed: A Benchmark for Federated Learning Frameworks. | CoRR | 2022 | Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li 0026, Dawn Song | abs/2207.10308 |
| 180 | pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. | CoRR | 2022 | Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding | abs/2206.03655 |
| 181 | Fusion of Federated Learning and Industrial Internet of Things: A survey. | Comput. Networks | 2022 | M. Parimala Boobalan, Swarna Priya Ramu, Quoc-Viet Pham, Kapal Dev, Sharnil Pandya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Thien Huynh-The | 212 |
| 182 | Challenges and future directions of secure federated learning: a survey. | Frontiers Comput. Sci. | 2022 | Kaiyue Zhang, Xuan Song, Chenhan Zhang, Shui Yu 0001 | 16 |
| 183 | A state-of-the-art survey on solving non-IID data in Federated Learning. | Future Gener. Comput. Syst. | 2022 | Xiaodong Ma, Jia Zhu 0003, Zhihao Lin, Shanxuan Chen, Yangjie Qin | 135 |
| 184 | A Survey of Integrating Federated Learning with Smart Grids: Application Prospect, Privacy Preserving and Challenges Analysis. | ICBDS | 2022 | Zhichao Tang, Yan Yan, Dong Wu, Tianhao Yang, Ruixuan Dong, Shuyang Hao, Wei Wang, Yizhi Chen, Yuan Tian 0003 | |
| 185 | FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. | ICML | 2022 | Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury | |
| 186 | A Novel Joint Dataset and Incentive Management Mechanism for Federated Learning Over MEC. | IEEE Access | 2022 | Joohyung Lee 0001, Daejin Kim, Dusit Niyato | 10 |
| 187 | Differential Privacy for Deep and Federated Learning: A Survey. | IEEE Access | 2022 | Ahmed El Ouadrhiri, Ahmed Abdelhadi | 10 |
| 188 | Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning. | IEEE Access | 2022 | Mohamed Amine Ferrag, Othmane Friha, Djallel Hamouda, Leandros A. Maglaras, Helge Janicke | 10 |
| 189 | Securing a Local Training Dataset Size in Federated Learning. | IEEE Access | 2022 | Young Ah Shin, Geontae Noh, Ik Rae Jeong, Ji Young Chun | 10 |
| 190 | Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications: Centralized and Federated Learning. | IEEE DataPort | 2022 | Mohamed Amine Ferrag, Othmane Friha, Djallel Hamouda, Leandros A. Maglaras, Helge Janicke | |
| 191 | A Survey on Federated Learning for Resource-Constrained IoT Devices. | IEEE Internet Things J. | 2022 | Ahmed Imteaj, Urmish Thakker, Shiqiang Wang 0001, Jian Li 0008, M. Hadi Amini | 9 |
| 192 | A Survey of Incentive Mechanism Design for Federated Learning. | IEEE Trans. Emerg. Top. Comput. | 2022 | Yufeng Zhan, Jie Zhang 0076, Zicong Hong, Leijie Wu, Peng Li 0017, Song Guo 0001 | 10 |
| 193 | The Evolution of Federated Learning-Based Intrusion Detection and Mitigation: A Survey. | IEEE Trans. Netw. Serv. Manag. | 2022 | Léo Lavaur, Marc-Oliver Pahl, Yann Busnel, Fabien Autrel | 19 |
| 194 | A Novel Joint Dataset and Computation Management Scheme for Energy-Efficient Federated Learning in Mobile Edge Computing. | IEEE Wirel. Commun. Lett. | 2022 | Jingyeom Kim, Doyeon Kim, Joohyung Lee 0001, Jungyeon Hwang | 11 |
| 195 | Noise-Resilient Federated Learning: Suppressing Noisy Labels in the Local Datasets of Participants. | INFOCOM Workshops | 2022 | Rahul Mishra 0001, Hari Prabhat Gupta, Tanima Dutta | |
| 196 | Stable Federated Learning with Dataset Condensation. | J. Comput. Sci. Eng. | 2022 | Seong-Woong Kim, Dong-Wan Choi | 16 |
| 197 | Centralized Machine Learning Versus Federated Averaging: A Comparison using MNIST Dataset. | KSII Trans. Internet Inf. Syst. | 2022 | Sony Peng, Yixuan Yang, Makara Mao, Doo-Soon Park | 16 |
| 198 | From distributed machine learning to federated learning: a survey. | Knowl. Inf. Syst. | 2022 | Ji Liu 0003, Jizhou Huang, Yang Zhou 0001, Xuhong Li 0002, Shilei Ji, Haoyi Xiong, Dejing Dou | 64 |
| 199 | FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | NAACL-HLT | 2022 | Bill Yuchen Lin, Chaoyang He 0001, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta 0001, Mahdi Soltanolkotabi, Xiang Ren 0001, Salman Avestimehr | |
| 200 | FedDBG: Privacy-Preserving Dynamic Benchmark Gradient in Federated Learning Against Poisoning Attacks. | NaNA | 2022 | ||
| 201 | Optimizing Execution Time and Costs of Cross-Silo Federated Learning Applications with Datasets on different Cloud Providers. | SBAC-PAD | 2022 | Rafaela C. Brum, Pierre Sens 0001, Luciana Arantes, Maria Clicia Stelling de Castro, Lúcia Maria de A. Drummond | |
| 202 | Federated Learning in Edge Computing: A Systematic Survey. | Sensors | 2022 | Haftay Gebreslasie Abreha, Mohammad Hayajneh 0001, Mohamed Adel Serhani | 22 |
| 203 | Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey. | Sensors | 2022 | Abdul Rehman Javed, Muhammad Abul Hassan, Faisal Shahzad, Waqas Ahmed, Saurabh Singh 0006, Thar Baker, Thippa Reddy Gadekallu | 22 |
| 204 | Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey. | Soft Comput. | 2022 | Dun Li, Dezhi Han, Tien-Hsiung Weng, Zibin Zheng, Hongzhi Li, Han Liu 0009, Arcangelo Castiglione, Kuan-Ching Li | 26 |
| 205 | Applying Federated Learning in Software-Defined Networks: A Survey. | Symmetry | 2022 | Xiaohang Ma, Lingxia Liao, Zhi Li, Roy Xiaorong Lai, Miao Zhang | 14 |
| 206 | Federated learning and next generation wireless communications: A survey on bidirectional relationship. | Trans. Emerg. Telecommun. Technol. | 2022 | Debaditya Shome, Omer Waqar, Wali Ullah Khan | 33 |
| 207 | A survey on federated learning in data mining. | WIREs Data Mining Knowl. Discov. | 2022 | Bin Yu 0011, Wenjie Mao, Yihan Lv, Chen Zhang 0015, Yu Xie | 12 |
| 208 | Decentralized P2P Federated Learning on Ad-hoc Like Networks with Non-IID Dataset. | WiMob | 2022 | Qingzhe Jin, Hideya Ochiai | |
| 209 | Survey on Federated-Learning Approaches in Distributed Environment. | Wirel. Pers. Commun. | 2022 | Ruchi Gupta, Tanweer Alam | 125 |
| 210 | extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. | Canadian AI | 2021 | Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu 0001 | |
| 211 | A Comprehensive Survey of Incentive Mechanism for Federated Learning. | CoRR | 2021 | Rongfei Zeng, Chao Zeng, Xingwei Wang 0001, Bo Li 0001, Xiaowen Chu 0001 | abs/2106.15406 |
| 212 | A Survey of Fairness-Aware Federated Learning. | CoRR | 2021 | Yuxin Shi, Han Yu 0001, Cyril Leung | abs/2111.01872 |
| 213 | A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things. | CoRR | 2021 | Jiehan Zhou, Shouhua Zhang, Qinghua Lu 0001, Wenbin Dai, Min Chen, Xin Liu 0022, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma | abs/2104.10501 |
| 214 | Benchmarking Differential Privacy and Federated Learning for BERT Models. | CoRR | 2021 | Priyam Basu, Tiasa Singha Roy, Rakshit Naidu, Zümrüt Müftüoglu, Sahib Singh, Fatemehsadat Mireshghallah | abs/2106.13973 |
| 215 | Blockchain-based Federated Learning: A Comprehensive Survey. | CoRR | 2021 | Zhilin Wang, Qin Hu 0001 | abs/2110.02182 |
| 216 | DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. | CoRR | 2021 | David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich | abs/2102.08833 |
| 217 | FLOP: Federated Learning on Medical Datasets using Partial Networks. | CoRR | 2021 | Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin | abs/2102.05218 |
| 218 | FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. | CoRR | 2021 | Chaoyang He 0001, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr | abs/2104.07145 |
| 219 | FedScale: Benchmarking Model and System Performance of Federated Learning. | CoRR | 2021 | Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury | abs/2105.11367 |
| 220 | Federated Learning Meets Natural Language Processing: A Survey. | CoRR | 2021 | Ming Liu 0028, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang | abs/2107.12603 |
| 221 | Federated Learning Over Cellular-Connected UAV Networks with Non-IID Datasets. | CoRR | 2021 | Di-Chun Liang, Chun-Hung Liu, Rung-Hung Gau, Lu Wei 0001 | abs/2110.07077 |
| 222 | Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions. | CoRR | 2021 | Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Madhusanka Liyanage | abs/2110.04160 |
| 223 | Federated Learning in Smart Cities: A Comprehensive Survey. | CoRR | 2021 | Zhaohua Zheng, Yize Zhou, Yilong Sun, Zhang Wang, Boyi Liu, Keqiu Li | abs/2102.01375 |
| 224 | Federated Learning on Non-IID Data: A Survey. | CoRR | 2021 | Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin | abs/2106.06843 |
| 225 | The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset. | CoRR | 2021 | Zhuofan Zhang, Mi Zhou 0002, Kaicheng Niu, Chaouki T. Abdallah | abs/2108.03508 |
| 226 | The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. | CoRR | 2021 | Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye 0001 | abs/2111.05326 |
| 227 | Federated Learning-Based Privacy-Preserving and Security: Survey. | ComComAP | 2021 | Mengna Yang, Yejun He, Jian Qiao | |
| 228 | Privacy preservation in federated learning: An insightful survey from the GDPR perspective. | Comput. Secur. | 2021 | Nguyen Truong 0001, Kai Sun 0005, Siyao Wang, Florian Guitton, Yike Guo | 110 |
| 229 | Achieving security and privacy in federated learning systems: Survey, research challenges and future directions. | Eng. Appl. Artif. Intell. | 2021 | Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez 0001, Adrian Flanagan, Kuan Eeik Tan | 106 |
| 230 | A survey on security and privacy of federated learning. | Future Gener. Comput. Syst. | 2021 | Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh, Yan Huang 0032, Ali Dehghantanha, Gautam Srivastava 0001 | 115 |
| 231 | Benchmarking PySyft Federated Learning Framework on MIMIC-III Dataset. | IEEE Access | 2021 | Andrius Budrionis, Magda Miara, Piotr Miara, Szymon Wilk, Johan Gustav Bellika | 9 |
| 232 | Challenges, Applications and Design Aspects of Federated Learning: A Survey. | IEEE Access | 2021 | K. M. Jawadur Rahman, Faisal Ahmed, Nazma Akhter, Mohammad Hasan, Ruhul Amin 0005, Kazi Ehsan Aziz, A. K. M. Muzahidul Islam, Md. Saddam Hossain Mukta, A. K. M. Najmul Islam | 9 |
| 233 | Water Leak Detection Survey: Challenges & Research Opportunities Using Data Fusion & Federated Learning. | IEEE Access | 2021 | Abdallah Moubayed, Mohamed Sharif, Marco Luccini, Serguei Primak, Abdallah Shami | 9 |
| 234 | Federated Learning for Internet of Things: A Comprehensive Survey. | IEEE Commun. Surv. Tutorials | 2021 | Dinh C. Nguyen, Ming Ding 0001, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li 0004, H. Vincent Poor | 23 |
| 235 | Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems. | IEEE Commun. Surv. Tutorials | 2021 | Omar Abdel Wahab 0001, Azzam Mourad, Hadi Otrok, Tarik Taleb | 23 |
| 236 | Federated Learning: mmWave MIMO radar dataset for testing. | IEEE DataPort | 2021 | ||
| 237 | A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond. | IEEE Internet Things J. | 2021 | Sawsan Abdul Rahman, Hanine Tout, Hakima Ould-Slimane, Azzam Mourad, Chamseddine Talhi, Mohsen Guizani | 8 |
| 238 | Machine and federated learning for high-performance computing: a survey. | Int. J. High Perform. Comput. Netw. | 2021 | Akshat Gaurav, Konstantinos E. Psannis | 17 |
| 239 | Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning. | J. Cheminformatics | 2021 | Ulf Norinder, Ola Spjuth, Fredrik Svensson | 13 |
| 240 | A survey on federated learning. | Knowl. Based Syst. | 2021 | Chen Zhang 0015, Yu Xie, Hang Bai, Bin Yu 0011, Weihong Li, Yuan Gao | 216 |
| 241 | A survey on security and privacy threats to federated learning. | NaNA | 2021 | Junpeng Zhang, Mengqian Li, Shuiguang Zeng, Bin Xie 0003, Dongmei Zhao | |
| 242 | A Survey towards Federated Semi-supervised Learning. | CoRR | 2020 | Yilun Jin, Xiguang Wei, Yang Liu 0165, Qiang Yang 0001 | abs/2002.11545 |
| 243 | An Isolated Data Island Benchmark Suite for Federated Learning. | CoRR | 2020 | Yuan Liang, Yange Guo, Yanxia Gong, Chunjie Luo, Jianfeng Zhan, Yunyou Huang | abs/2008.07257 |
| 244 | Benchmarking Semi-supervised Federated Learning. | CoRR | 2020 | Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney | abs/2008.11364 |
| 245 | Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets. | CoRR | 2020 | Yanjie Dong, Georgios B. Giannakis, Tianyi Chen, Julian Cheng, Md. Jahangir Hossain 0002, Victor C. M. Leung | abs/2006.09992 |
| 246 | FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning. | CoRR | 2020 | Di Chai, Leye Wang, Kai Chen 0005, Qiang Yang 0001 | abs/2011.09655 |
| 247 | FedML: A Research Library and Benchmark for Federated Machine Learning. | CoRR | 2020 | Chaoyang He 0001, Songze Li, Jinhyun So, Mi Zhang 0002, Hongyi Wang 0001, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh 0005, Hang Qiu 0001, Li Shen 0005, Peilin Zhao, Yan Kang 0001, Yang Liu, Ramesh Raskar, Qiang Yang 0001, Murali Annavaram, Salman Avestimehr | abs/2007.13518 |
| 248 | From Federated Learning to Federated Neural Architecture Search: A Survey. | CoRR | 2020 | Hangyu Zhu, Haoyu Zhang, Yaochu Jin | abs/2009.05868 |
| 249 | LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. | CoRR | 2020 | Ang Li 0005, Jingwei Sun 0002, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen 0001, Hai Li 0001 | abs/2008.03371 |
| 250 | Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data. | CoRR | 2020 | GeunHyeong Lee, Soo-Yong Shin | abs/2005.11756 |
| 251 | Siloed Federated Learning for Multi-Centric Histopathology Datasets. | CoRR | 2020 | Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel | abs/2008.07424 |
| 252 | Survey of Personalization Techniques for Federated Learning. | CoRR | 2020 | Viraj Kulkarni, Milind Kulkarni 0002, Aniruddha Pant | abs/2003.08673 |
| 253 | Threats to Federated Learning: A Survey. | CoRR | 2020 | Lingjuan Lyu, Han Yu 0001, Qiang Yang 0001 | abs/2003.02133 |
| 254 | Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications. | IEEE Access | 2020 | Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed | 8 |
| 255 | Federated Learning in Mobile Edge Networks: A Comprehensive Survey. | IEEE Commun. Surv. Tutorials | 2020 | Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang 0001, Dusit Niyato, Chunyan Miao | 22 |
| 256 | Real-World Image Datasets for Federated Learning. | CoRR | 2019 | Jiahuan Luo, Xueyang Wu 0001, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu 0165, Qiang Yang 0001 | abs/1910.11089 |
| 257 | Revocable Federated Learning: A Benchmark of Federated Forest. | CoRR | 2019 | Yang Liu 0118, Zhuo Ma, Ximeng Liu, Zhuzhu Wang, Siqi Ma, Ken Ren | abs/1911.03242 |
| 258 | Federated Learning: example dataset (FMCW 122GHz radars). | IEEE DataPort | 2019 |