fedavg topic
openfl
An open framework for Federated Learning.
FedNova
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
Federated-Learning-Implementations
This repository contains all the implementation of different papers on Federated Learning
FedModule
联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes
Federated-Learning-PyTorch
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arb...
FedAvg-numpy-pytorch-tff
Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
redco
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
blades
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Federated-Learning-Research
An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real...