SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
This project helps machine learning researchers rapidly prototype and test federated learning algorithms. It takes your local datasets and machine learning model designs, then helps you simulate how they would perform in a distributed, privacy-preserving federated learning environment. This is for researchers in AI, data science, or specialized domains like finance or healthcare who are exploring new federated learning methods.
822 stars. Available on PyPI.
Use this if you are a machine learning researcher focused on federated learning and need a flexible toolkit to build and evaluate custom FL algorithms.
Not ideal if you are looking for a plug-and-play solution for general distributed machine learning or a production-ready federated learning system without research customization.
Stars
822
Forks
141
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 20, 2025
Commits (30d)
0
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