Semi-Asynchronous Hierarchical Federated Learning over Mobile Edge Networks

Mobile edge network has been recognized as a promising technology for future wireless communications. However, mobile edge networks usually gathering large amounts of data, which makes it difficult to explore data science efficiently. Currently, federated learning has been proposed as an appealing a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Chen, Qimei, You, Zehua, Wu, Jing, Liu, Yunpeng, Jiang, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational modeling Data models Data science Edge association Edge computing Federated learning Mixed integer mobile edge network Network latency Nonlinear programming Resource allocation Resource management semi-asynchronous Servers Wireless communication Wireless communications
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!