SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

A library for federated learning (a distributed machine learning process) in an enterprise environment.

A curated list of resources for model inversion attack (MIA).

Privacy attacks on Split Learning

Investigating Split Learning and Federate Learning

A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)

FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks

Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

The first open Federated Learning framework implemented in C++ and Python.

Implementation of dp-based federated learning framework using PyTorch

pytorch Version of SplitNN_FSHA

Code for ScaleFL

Hardware implementation of RingSFL

Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems