Flower AI Summit 2026ยทApril 15โ€“16ยทLondon
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Announcing Flower 1.26

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The Flower team is excited to announce the release of Flower 1.26 stable, packed with new updates!

Flower is a friendly framework for collaborative AI and data science. It makes novel approaches such as federated learning, federated evaluation, federated analytics, and fleet learning accessible to a wide audience of researchers and engineers.

Thanks to our contributors

We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order):

Charles Beauville, Chong Shen Ng, Daniel J. Beutel, Flippchen, Heng Pan, Iason Ofeidis, Javier, Jun S, Soumik Sarker, Taner Topal, Yan Gao, nihonge

What's new?

Incompatible changes

  • Deprecate legacy flwr CLI configuration via pyproject.toml (#6374, #6393, #6399, #6405)

    Deprecates the now-legacy flwr CLI configuration usage (where configuration lives in pyproject.toml) following the introduction of the (central, project-independent) Flower configuration. Refer to the Flower CLI reference or run flwr <command> --help for updated usage.

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