Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation

There is an increasing interest in a fast-growing machine learning technique called Federated Learning (FL), in which the model training is distributed over mobile user equipment (UEs), exploiting UEs' local computation and training data. Despite its advantages such as preserving data privacy,...

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Veröffentlicht in:IEEE/ACM transactions on networking Jg. 29; H. 1; S. 398 - 409
Hauptverfasser: Dinh, Canh T., Tran, Nguyen H., Nguyen, Minh N. H., Hong, Choong Seon, Bao, Wei, Zomaya, Albert Y., Gramoli, Vincent
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1063-6692, 1558-2566
Online-Zugang:Volltext
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