Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters

ICLR 2020 Hesham Mostafa

Federated learning is a distributed, privacy-aware learning scenario which trains a single model on data belonging to several clients. Each client trains a local model on its data and the local models are then aggregated by a central party... (read more)

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