Federated Learning Over Wireless Edge Networks (Wireless Networks)

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.

Computers & Technology

Niyato, Dusit

Xiong, Zehui

Lim, Wei Yang Bryan

Ng, Jer Shyuan

Miao, Chunyan

Computer Science

Springer

Integrating Edge Intelligence and Blockchain: What, Why, and How (Wireless Networks)

Wang, Xiaofei

Leung, Victor C. M.

Qiu, Chao

Ren, Xiaoxu

Reference

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Books by Xiong, Zehui