flwrlabs/flower
flower
Flower: A Friendly Federated AI Framework
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flwrlabs
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Feb 17, 2020
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README Summary
Flower is an open-source federated learning framework that enables privacy-preserving machine learning across distributed datasets. It provides a unified approach to federated learning that works with popular ML frameworks like PyTorch, TensorFlow, and scikit-learn. The framework supports both research and production deployments with flexible client-server architectures.
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Updated 24 days ago
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- Project created
- Feb 17, 2020
- Forked
- Mar 22, 2026
- Your last push
- 24 days ago
- Upstream last push
- 6 days ago
- Tracked since
- Mar 20, 2026
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