DW-FedAvg

Federated Learning Utilities and Tools for Experimentation

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings

Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.

A Comprehensive and Versatile Open-Source Federated Learning Framework

Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated Learning".

Papers related to Federated Learning in all top venues

Docker CLI package for the vantage6 infrastructure

A project for simulation of Asynchronous Federated Learning