Training Data Cost Ratio Optimization for Federated Learning in Cellular Internet of Things

The cellular Internet of Things (IoT) enhanced by Federated learning (FL) is a potential paradigm to leverage the vast amount of data generated by the IoT devices and offer various intelligent applications. Through its distributed learning manner, the privacy and delay problems of the learning proce...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE internet of things journal 2024-12, p.1-1
Hauptverfasser:	Cheng, Yulun, Ni, Yiyang, Zhao, Haitao, Xia, Wenchao, Yang, Longxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	cellular internet of things client scheduling Costs data cost ratio Data models Federated learning Internet of Things Linear programming Measurement Optimization resource allocation Servers Training Training data Wireless communication
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!