Artificial Intelligence Using Federated Learning
Fundamentals, Challenges, and Applications
Inhalt
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.
Bibliografische Angaben
Dezember 2024, ca. 344 Seiten, Intelligent Manufacturing and Industrial Engineering, Englisch
Taylor and Francis
978-1-032-77164-9