#计算机科学#A unified framework for privacy-preserving data analysis and machine learning
#计算机科学#SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
#计算机科学#C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
reveal the vulnerabilities of SplitNN
Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"
#计算机科学#Official Repository for ResSFL (accepted by CVPR '22)
Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
Split Learning Simulation Framework for LLMs
#计算机科学#Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Framework that supports pipeline federated split learning with multiple hops.
#计算机科学#Supplementary code for the paper "SplitGuard: Detecting and MitigatingTraining-Hijacking Attacks in Split Learning"
#计算机科学#Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".
Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)
Simple Split Learning setup. Proof of Concept & testbed
Split learning for privacy-preserving healthcare, and threats and defensive techniques for decentralized learning. (with Prof. Vinay Chamola)
Framework of Distributed Learning in Vehicular Networks
#计算机科学#Distributed Deep Learning
Code and data accompanying the DP-FSL paper