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Forventes på lager: 02-10-2024
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising of domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas.
| Forlag | Taylor & Francis Ltd |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 02-10-2024 |
| Første udgivelsesår | 2024 |
| Serie | Advances in Smart Healthcare Technologies |
| Illustrationer | 9 Tables, black and white; 41 Line drawings, black and white; 3 Halftones, black and white; 44 Illustrations, black and white |
| Fagredaktør | Amandeep (Chitkara University Kaur, Chetna (Chitkara University Kaushal, Md. Mehedi (Khulna Uni Hassan, Si Thu (Univ at Buffalo Aung |
| Originalsprog | United Kingdom |
| Sideantal | 252 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 252 pages, 9 Tables, black and white; 41 Line drawings, black and white; 3 Halftones, black and whit |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9781032689555 |