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Announcing Flower 1.30

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The Flower team is excited to announce the release of Flower 1.30 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, Daniel Nata Nugraha, Heng Pan, Javier, Micah Sheller, Mohammad Naseri, Patrick Foley, Taner Topal, Yan Gao

What's new?

Incompatible changes

  • Disallow manually running internal flwr-* commands (#7019)

    Removes support for manually starting flwr-serverapp, flwr-simulation, and flwr-clientapp; these commands can only be launched by SuperExec.

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