Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Appli... (Bog, Hardback, Engelsk)

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications

(Bog, Hardback, Engelsk)

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Beskrivelse

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.

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Alle detaljer

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