|Book Name:||Federated Learning Over Wireless Edge Networks|
Free PDF Download Federated Learning Over Wireless Edge 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 toward implementing FL over the wireless edge network. Then, considering 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 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.
Federated Learning Over Wireless Edge Networks PDF
Author(s): Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao
Series: Wireless Networks
Publisher: Springer, Year: 2022