Artificial intelligence using federated learning: fundamentals, challenges, and applications
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032771649
Date de publication :
30 déc. 2024
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.