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Federated Learning Over Wireless Edge Networks

Dusit Niyato author Wei Yang Bryan Lim author Jer Shyuan Ng author Zehui Xiong author Chunyan Miao author

Format:Hardback

Publisher:Springer International Publishing AG

Published:29th Sep '22

Currently unavailable, and unfortunately no date known when it will be back

Federated Learning Over Wireless Edge Networks cover

This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.

ISBN: 9783031078378

Dimensions: unknown

Weight: unknown

165 pages

1st ed. 2022