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portada Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications (Intelligent Manufacturing and Industrial Engineering)
Type
Physical Book
Publisher
Author
Language
English
Pages
294
Format
Hardcover
ISBN13
9781032771649
Edition No.
1

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications (Intelligent Manufacturing and Industrial Engineering)

Elngar Ahmed A.,Oliva Diego,Balas Valentina E. (Author) · Crc Press · Hardcover

Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications (Intelligent Manufacturing and Industrial Engineering) - Elngar Ahmed A.,Oliva Diego,Balas Valentina E.

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Synopsis "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.

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