Federated Learning in the Age of Foundation Models - FL 2024 International Workshops FL@FM-WWW 2024, Singapore, May 14, 2024; FL@FM-ICME 2024, Niagara Falls, ON, Canada, July 15, 2024; FL@FM-IJCAI 2024, Jeju Island, South Korea, August 5, 2024; and FL@FM-NeurIPS 2024, Vancouver, BC, Canada, December 15, 2024, Revised Selected Papers /

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows: FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume focuses on the following topics: Efficient Model Adaptation and Personalization, Data Heterogene...

Descripció completa

Dades bibliogràfiques

Autor corporatiu:	SpringerLink (Online service)
Altres autors:	Yu, Han (Editor), Li, Xiaoxiao (Editor), Xu, Zenglin (Editor), Goebel, Randy (Editor), King, Irwin (Editor)
Format:	Electrònic eBook
Idioma:	anglès
Publicat:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:	1st ed. 2025.
Col·lecció:	Lecture Notes in Artificial Intelligence, 15501
Matèries:	Artificial intelligence. Artificial Intelligence.
Accés en línia:	https://doi.org/10.1007/978-3-031-82240-7
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!