Pybiscus: a flexible Federated Learning Framework
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Pybiscus is a simple tool to perform Federated Learning on various models and datasets. It aims at automated as much as possible the FL pipeline, and allows to add virtually any kind of dataset and model.
Pybiscus is built on top of Flower, a mature Federated Learning framework; Typer (script and CLI parts) and Lightning/Fabric for all the Machine Learning machinery.
You can simply test Pybiscus by downloading the latest wheel available and install it.
Documentation
Documentation is available at docs.
Contributing
If you are interested in contributing to the Pybiscus project, start by reading the Contributing guide.
License
The License is Apache 2.0. You can find all the relevant information here LICENSE