Dual Attention-Based Federated Learning for Wireless Traffic Prediction

Wireless traffic prediction is essential for cellular networks to realize intelligent network operations, such as load-aware resource management and predictive control. Existing prediction approaches usually adopt centralized training architectures and require the transferring of huge amounts of tra...

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Bibliographic Details

Published in:	Annual Joint Conference of the IEEE Computer and Communications Societies pp. 1 - 10
Main Authors:	Zhang, Chuanting, Dang, Shuping, Shihada, Basem, Alouini, Mohamed-Slim
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10.05.2021
Subjects:	Collaborative work Computational modeling deep neural networks federated learning Performance gain Predictive models Traffic control Training Wireless communication wireless traffic prediction
ISSN:	2641-9874
Online Access:	Get full text
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