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Forventes på lager: 30-12-2024
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.
| Forlag | Taylor & Francis Ltd |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 30-12-2024 |
| Første udgivelsesår | 2024 |
| Serie | Intelligent Manufacturing and Industrial Engineering |
| Illustrationer | 37 Tables, black and white; 84 Line drawings, black and white; 9 Halftones, black and white; 93 Illustrations, black and white |
| Fagredaktør | Ahmed A (Beni-Suef Uni.) Elngar, Diego (University de Guadalajara Oliva, Valentina E. (Aurel Vlaicu University of Arad and Romanian Academy of Scientists Balas |
| Originalsprog | United Kingdom |
| Sideantal | 294 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 294 pages, 37 Tables, black and white; 84 Line drawings, black and white; 9 Halftones, black and whi |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9781032771649 |