Flower: A Friendly Federated AI Framework

Flower (flwr) is an open-source framework for building federated learning systems. It enables collaborative training of machine learning models across decentralized datasets without exchanging raw data. Currently at version 1.29.0, Flower maintains a rapid release cadence, often releasing minor versions monthly with new features and improvements.