An open framework for Federated Learning.

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.

(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

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

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".

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

Docker CLI package for the vantage6 infrastructure

BurrMill core

A project for simulation of Asynchronous Federated Learning

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

A Federated Learning based Android Malware Classification System

Sparse Convex Optimization Toolkit (SCOT)

Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21

[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning

Official implementation of Deep Class Incremental Learning from Decentralized Data (IEEE TNNLS 22)

A generic Federated Learning simulator!

A script for training the ConvNextV2 on CIFAR10 dataset using the FSDP technique for a distributed training scheme.