Announcing Flower 1.15.2

The Flower Team is excited to announce the release of Flower 1.15.2 stable, which comes with several quality improvements over 1.15.1. 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, Heng Pan, Javier, Leandro Collier, Stephane Moroso, Yan Gao

What's new?

• Free processed messages in LinkState (#4934)

  When the ServerApp pulls the replies the SuperNodes sent to the SuperLink, these should be removed from the LinkState. In some situations, these weren't erased, which could lead to high memory utilization by the SuperLink.

• Introduce Windows CI tests (#4908)

  We continue improving the experience of running Flower on Windows. Now, an automated CI test is run to ensure compatibility.

• Update Ray version (Simulation Engine) (#4926)

  The Simulation Engine has been upgraded to a version of Ray that is compatible with Python 3.12.

• Update Documentation (#4915, #4914)

• Other quality improvements (#4935, #4936, #4928, #4924, #4939)