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Federated Learning Over Wireless Edge Networks
Hardcover
Series: Wireless Networks
Technology & EngineeringGeneral Computers
ISBN13: 9783031078378
Publisher: Springer Nature
Published: Sep 29 2022
Pages: 165
Weight: 0.96
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
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.
1 different editions
Also available
Federated Learning Over Wireless Edge Networks
Lim, Wei Yang Bryan
Ng, Jer Shyuan
Xiong, Zehui
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Also from
Lim, Wei Yang Bryan
Federated Learning Over Wireless Edge Networks
Lim, Wei Yang Bryan
Ng, Jer Shyuan
Xiong, Zehui
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