Federated Learning Over Wireless Edge Networks
€ 119,90
Informação do Produto
| ISBN | 9783031078378 |
|---|---|
| Autores | Chunyan Miao, Dusit Niyato, Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong |
| Editora | Springer International Publishing AG |
| Formato | Capa dura |
| Número de páginas | 165 |
| Peso (kg) | 0,406 |
| Data de Publicação | 29/09/2022 |
| Preço (iva excl.) | € 113,11 |
| Imposto | € 6,79 |
| Preço (iva inc.) | € 119,90 |
| Disponibilidade | 1 unidade em armazém externo |
Descrição do Produto
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.