Conte aos seus amigos sobre este item:
Federated and Transfer Learning - Adaptation, Learning, and Optimization 1st ed. 2023 edition
Federated and Transfer Learning - Adaptation, Learning, and Optimization
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning.
371 pages, 80 Illustrations, color; 10 Illustrations, black and white; VIII, 371 p. 90 illus., 80 il
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 1 de outubro de 2022 |
| ISBN13 | 9783031117473 |
| Editoras | Springer International Publishing AG |
| Páginas | 371 |
| Dimensões | 150 × 220 × 20 mm · 735 g |
| Idioma | Alemão |
| Editor | Razavi-Far, Roozbeh |
| Editor | Taylor, Matthew E. |
| Editor | Wang, Boyu |
| Editor | Yang, Qiang |