CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
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Updated
Aug 19, 2024 - Python
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
Code and data accompanying the DP-FSL paper
Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)
Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".
Split Learning Simulation Framework for LLMs
Simple Split Learning setup. Proof of Concept & testbed
testing adhocSL
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
reveal the vulnerabilities of SplitNN
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
A unified framework for privacy-preserving data analysis and machine learning
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