Gebundenes Buch

Artificial Intelligence Using Federated Learning

Fundamentals, Challenges, and Applications

Herausgeber: Elngar, Ahmed A; Balas, Valentina E; Oliva, Diego
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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.