Handbook of trustworthy federated learning
Éditeur :
Springer International Publishing AG
ISBN :
9783031589225
Date de publication :
4 sept. 2024
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This handbook aims to serve as a one-stop, reliable resource, including curated surveys and expository contributions on federated learning. First introduced in 2016, federated learning allows devices to collaboratively learn a shared model while keeping raw data localized, thus promising to protect data privacy.