FedCLS: Class-Aware Federated Learning in a Heterogeneous Environment

Federated learning is an approach of training the global model on the server by utilizing the personal data of the end users while data privacy is preserved. The users, referred to as clients, are responsible for performing local training using their respective datasets. Once trained, the clients fo...

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Veröffentlicht in:	IEEE eTransactions on network and service management 2023-06, Vol.20 (2), p.1-1
Hauptverfasser:	Bhatti, Dost Muhammad Saqib, Nam, Haewoon
Format:	Artikel
Sprache:	eng
Schlagworte:	Clients Datasets deep neural networks distributed learning End users Federated learning Heterogeneity Heterogeneous network Labels unbiased aggregation
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