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
Yu, Han (EDT); Li, Xiaoxiao (EDT); Xu, Zenglin (EDT); Goebel, Randy (EDT); King, Irwin (EDT)
ISBN 10: 3031822390 ISBN 13: 9783031822391
Editore: Springer, 2025
Usato
Brossura
Da
GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Venditore AbeBooks dal 6 aprile 2009
Questo articolo specifico non è più disponibile.
Riguardo questo articolo
Descrizione:
Unread book in perfect condition. Codice articolo 49461117
Riassunto:
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 Heterogeneity and Incomplete Data, Integration of Specialized Neural Architectures, Frameworks and Tools for Federated Learning, Applications in Domain-Specific Contexts, Unsupervised and Lightweight Learning, and Causal Discovery and Black-Box Optimization.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Dati bibliografici
Titolo: Federated Learning in the Age of Foundation ...
Casa editrice: Springer
Data di pubblicazione: 2025
Legatura: Brossura
Condizione: As New