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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE access Ročník 11; s. 1
Hlavní autoři:	Chen, Qimei, You, Zehua, Wu, Jing, Liu, Yunpeng, Jiang, Hao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!