Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications - Intelligent Manufacturing and Industrial Engineering - - Books - Taylor & Francis Ltd - 9781032772462 - July 20, 2026
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Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications - Intelligent Manufacturing and Industrial Engineering

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
To be released July 20, 2026
ISBN13 9781032772462
Publishers Taylor & Francis Ltd
Pages 294
Dimensions 150 × 220 × 10 mm   ·   453 g
Editor Balas, Valentina E. (Aurel Vlaicu University of Arad and Romanian Academy of Scientists, Romania)
Editor Elngar, Ahmed A (Beni-Suef Uni.)
Editor Oliva, Diego (University de Guadalajara, Mexico)

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