Federated Learning over Wireless Edge Networks (Wireless Networks)

Lim, Wei Yang Bryan/ Ng, Jer Shyuan/ Xiong, Zehui

Springer International Publishing AG（2023/10発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 165 p.
• 商品コード 9783031078408

Full Description

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.

Contents

Federated Learning at Mobile Edge Networks: A Tutorial.- Multi-Dimensional Contract Matching Design for Federated Learning in UAV Networks.- Joint Auction-Coalition Formation Framework for UAV-assisted Communication-Efficient Federated Learning.- Evolutionary Edge Association and Auction in Hierarchical Federated Learning.- Conclusion and Future Works.