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Federated Learning: Privacy and Incentive - Lecture Notes in Computer Science 1st ed. 2020 edition
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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 26 de noviembre de 2020 |
| ISBN13 | 9783030630751 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 286 |
| Dimensiones | 150 × 220 × 10 mm · 456 g |
| Lengua | Alemán |
| Editor | Fan, Lixin |
| Editor | Yang, Qiang |
| Editor | Yu, Han |
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