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Federated Learning: Principles, Paradigms, and Applications
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€ 212,49
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Federated Learning: Principles, Paradigms, and Applications
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.
321 pages, 7 Illustrations, color; 72 Illustrations, black and white
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 20. septembris |
| ISBN13 | 9781774916384 |
| Izdevēji | Apple Academic Press Inc. |
| Lapas | 334 |
| Izmēri | 150 × 220 × 20 mm · 680 g |
| Valoda | Angļu |
| Redaktors | Nair, Akarsh K. |
| Redaktors | Ouaissa, Mariya |
| Redaktors | Sahoo, Jayakrushna |
