Storage-Aware Joint User Scheduling and Bandwidth Allocation for Federated Edge Learning

In Federated Edge Learning (FEEL) networks, edge devices exchange the model parameters with each other to protect data privacy, instead of directly transmitting data samples. However, the learning performance may decrease due to the limited computation, communication, and storage resources. On the o...

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Veröffentlicht in:	IEEE transactions on cognitive communications and networking 2024-08, p.1-1
Hauptverfasser:	Liu, Shengli, Shen, Yineng, Yuan, Jiantao, Wu, Celimuge, Yin, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	bandwidth allocation Channel allocation Computational modeling data cleansing data influence Data models Federated edge learning Resource management Scheduling Training Training data user scheduling
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