A unified framework for privacy-preserving data analysis and machine learning
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Updated
Sep 26, 2024 - Python
A unified framework for privacy-preserving data analysis and machine learning
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
reveal the vulnerabilities of SplitNN
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Split Learning Simulation Framework for LLMs
testing adhocSL
Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".
Simple Split Learning setup. Proof of Concept & testbed
Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
Code and data accompanying the DP-FSL paper
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