Federated learning: principles, paradigms, and applications
Éditeur :
Apple Academic Press Inc.
ISBN :
9781774916384
Date de publication :
20 sept. 2024
Dimensions :
23,4 x 15,6 cm
Poids :
680 g
Langue :
Anglais
Pays d'origine :
Canada
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.