#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
#计算机科学#Official Repository for ResSFL (accepted by CVPR '22)
Source codes of paper "Can We Use Split Learning on 1D CNN for Privacy Preserving Training?"
Split Learning Simulation Framework for LLMs
Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
Framework that supports pipeline federated split learning with multiple hops.
#计算机科学#Enhancing Efficiency in Multidevice Federated Learning through Data Selection
#计算机科学#Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning".
#计算机科学#Supplementary code for the paper "SplitGuard: Detecting and MitigatingTraining-Hijacking Attacks in Split Learning"
Simple Split Learning setup. Proof of Concept & testbed
Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)
Split learning for privacy-preserving healthcare, and threats and defensive techniques for decentralized learning. (with Prof. Vinay Chamola)
Code of the paper GRAMSSAT: An Efficient Label Inference Attack against Two-party Split Learning based on Gradient Matching and Semi-supervised Learning.
Framework of Distributed Learning in Vehicular Networks
#计算机科学#Distributed Deep Learning