Standard implementations of FedLab and its provided benchmarks

Sep 17, 2021 1 min read

FedLab-benchmarks

This repo contains standard implementations of FedLab and its provided benchmarks.

Currently, following algorithms or benchrmarks are available：

FedAvg: Communication-Efficient Learning of Deep Networks from Decentralized Data
FedAsync: Asynchronous Federated Optimization
LEAF: A Benchmark for Federated Settings

TODO:

DGC:
FedProx: Federated Optimization in Heterogeneous Networks

We highly welcome you to contribute federated algorithm implemented by FedLab. If you encounter any problems, do not hesitate to submit an issue or send an email to the repo maintainer.

GitHub

Benchmark Deep Learning

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