Server Averaging for Federated Learning

Federated learning allows distributed devices to collectively train a model without sharing or disclosing the local dataset with a central server. The global model is optimized by training and averaging the model parameters of all local participants. However, the improved privacy of federated learni...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Pu, George, Zhou, Yanlin, Wu, Dapeng, Li, Xiaolin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning
Online-Zugang:	Volltext bestellen
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