Evolution of Federated Learning
Chris discusses the evolution of federated learning, highlighting its shift towards a decentralized training approach with a central model. Daniel emphasizes the privacy advantage of updating models on devices without sharing data, leading to potential duplicated efforts in model updates.In this clip
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Practical AI
Federated Learning 📱
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