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

Book Details

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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  • Authors Ahmed A. Elngar, Diego López Olivares, Valentina Emilia Balas
  • ISBN13 9781032771649
  • ISBN10 103277164X
  • Pages 344
  • Published 2024
  • Fecha de publicación 01/12/2024
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Artificial Intelligence Using Federated Learning Fundamentals, Challenges, and Applications

Artificial Intelligence Using Federated Learning Fundamentals, Challenges, and Applications

160,07€ 168,50€ -5%
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160,07€ 168,50€ -5%
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