flwrlabs/flower
🏗️ Frameworkflwrlabs
A friendly federated AI framework for scalable, privacy-preserving machine learning.
Flower provides a unified interface for federated learning across diverse platforms including mobile devices (Android, iOS), edge servers, and cloud. It uses gRPC for efficient communication, supports federated analytics, and offers flexibility for researchers and developers. Key features include ease of use, scalability, and strong privacy guarantees. It is production-ready and community-driven.
💡Highlights
- ├─Privacy-preserving federated learning
- ├─Supports PyTorch, TensorFlow, scikit-learn
- └─Cross-platform: Android, iOS, Python, C++
🎯For
- ├─AI researchers
- ├─privacy engineers
- └─ML developers