Split Federated Learning for Secure IoT Applications : Concepts, Frameworks, Applications and Case Studies

Autor:	Gururaj Harinahalli Lokesh, Geetabai S. Hukkeri, N.Z. Jhanjhi, Hong Lin
Kategorie:	COMPUTERS / Security / Network Security
Popis:	New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.
Databáze:	eBook Index
Externí odkaz:	Zobrazit plný text záznamu