split-learning

#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

Split Learning Simulation Framework for LLMs

#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?"

Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch

#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#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"

Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)

Simple Split Learning setup. Proof of Concept & testbed

Federated Split Learning via Smashed Activation Gradient Estimation

Fine-tuning multimodal models using Parallel Split Learning

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.