Device Selection Methods in Federated Learning: A Survey

Federated learning, a type of distributed machine learning, is used as local learning on large, distributed datasets produced by massive devices. It eliminates the need for data to be transported from end devices to a cloud or central server. In order to aggregate global models, it entails learning...

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