Decentralized Model Training
Daniel and Chris explore the concept of federated learning, discussing the idea of training a centralized model on decentralized data. They highlight the distinction between federated learning and other privacy-preserving machine learning approaches, shedding light on the advantages and challenges of this emerging trend.In this clip
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Practical AI
Federated Learning 📱
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