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Federated Learning: Privacy and Incentive - Lecture Notes in Computer Science 1st ed. 2020 edition
Federated Learning: Privacy and Incentive - Lecture Notes in Computer Science
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications.
286 pages, 82 Illustrations, color; 12 Illustrations, black and white; X, 286 p. 94 illus., 82 illus
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2020年11月26日 |
| ISBN13 | 9783030630751 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 286 |
| 商品尺寸 | 150 × 220 × 10 mm · 456 g |
| 语言 | 德语 |
| 编辑 | Fan, Lixin |
| 编辑 | Yang, Qiang |
| 编辑 | Yu, Han |