Friendly Federated Learning
Daniel Beutel explains the concept of Flower, a federated learning framework designed to be friendly across various machine learning frameworks, device types, and transport mechanisms. The framework allows for easy integration of different Python libraries, such as Opacus for differential privacy support, and even supports integration with languages like C for specialized applications like automotive settings.In this clip
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Friendly federated learning 🌼
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