Announcing Flower 1.32.1

The Flower team is excited to announce the release of Flower 1.32.1 stable!

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):

Chong Shen Ng, Daniel Nata Nugraha, Heng Pan, Javier, Micah Sheller

What's new?

• Fix flwr-simulation failing to exit (#7504)

  Closes the gRPC channel on exit, preventing flwr-simulation from hanging in some cases.

• Improve agent reliability and security (#7505, #7507, #7509)

  Improves agent reliability and security with several small enhancements and fixes.