Announcing Flower 1.12
The Flower Team is excited to announce the release of Flower 1.12 stable and it's packed with 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.
We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order):
Adam Narozniak , Audris , Charles Beauville , Chong Shen Ng , Daniel J. Beutel , Daniel Nata Nugraha , Heng Pan , Javier , Jiahao Tan , Julian Rußmeyer , Mohammad Naseri , Ray Sun , Robert Steiner , Yan Gao , xiliguguagua
Flower now supports log streaming from a remote SuperExec using the flwr log command. This new feature allows you to monitor logs from SuperExec in real time via flwr log <run-id> (or flwr log <run-id> <app-dir> <federation> ).
The flwr new command templates for MLX, NumPy, sklearn, JAX, and PyTorch have been updated to improve usability and consistency across frameworks.
