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

Contributor(s): Elngar, Ahmed A (Editor), Oliva, Diego (Editor), Balas, Valentina E (Editor)

ISBN: 9781032772462

Publisher: CRC Press

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Pub Date: July 19, 2026

Dewey: 006.31

LCCN: 2024033619

Lexile Code: 0000

Features: Bibliography, Illustrated, Index

Target Age Group: NA to NA

Physical Info: 0.65" H x 9.21" L x 6.14" W ( 0.96 lbs) 294 pages

Series: Intelligent Manufacturing and Industrial Engineering

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Description:

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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