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Flower 1.15 is here!

You can upgrade Flower via: pip install -U flwr[simulation]

A huge thank you to all our contributors! - Flower 1.15 brings significant improvements, including: - Enhanced SuperNode authentication for better security and efficiency - New guide for deploying Flower with Deployment Engine - Reference documentation for Flower Network Communication - LeRobot quickstart example for federated training on robotic tasks - Allow setting log levels via environment variables - CLI support for dynamic federation configuration overrides - Migration to message-based communication for Fleet API and ServerAppIO - Standardized exit codes for improved help messages ... and much more!

Happy Year of the Snake!

This is your chance to shape the future of Federated Learning and Flower. Your feedback in this survey will directly influence Flower's direction and help us improve the framework and ecosystem in a useful way for the entire community.

Take the survey now!