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Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications - Intelligent Manufacturing and Industrial Engineering
价格
元 475
不含税
预计送达时间 年7月28日 - 年7月31日
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其他版本：
Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications - Intelligent Manufacturing and Industrial Engineering
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.
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 即将发行 | 2026年7月20日 |
| ISBN13 | 9781032772462 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 294 |
| 商品尺寸 | 150 × 220 × 10 mm · 453 g |
| 编辑 | Balas, Valentina E. (Aurel Vlaicu University of Arad and Romanian Academy of Scientists, Romania) |
| 编辑 | Elngar, Ahmed A (Beni-Suef Uni.) |
| 编辑 | Oliva, Diego (University de Guadalajara, Mexico) |
