PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

Simulate the fedavg and fedprox algorithm of federated learning

This repository contains all the implementation of different papers on Federated Learning

Reconstruct image from CNN output using Keras and Tensorflow

PyTorch reimplementation of neural-cryptography-tensorflow

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Perform data science on data that remains in someone else's server

Code for Federated Learning with Matched Averaging, ICLR 2020.

This repo contains all the notebooks mentioned in blog.

Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

An implementation of Federated Learning using Pytorch and PySyft

Simplified implementation of federated learning in PyTorch

A PyTorch Implementation of Federated Learning http:https://doi.org/10.5281/zenodo.4321561

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data