Federated Learning Architecture
Daniel and Chris discuss the architecture of federated learning, highlighting the role of a centralized server in coordinating training activities with edge devices. They delve into the concept of pushing models to clients for training, emphasizing the shift in traditional data processing methods. The conversation sheds light on evaluating data availability for training on client devices, with a focus on the practical implications of this approach.In this clip
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Practical AI
Federated Learning 📱
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