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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.
Titolo: Federated Learning in the Age of Foundation ...
Casa editrice: Springer Nature Switzerland
Data di pubblicazione: 2025
Legatura: PAP
Condizione: New
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: moluna, Greven, Germania
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Taschenbuch. Condizione: Neu. Federated Learning in the Age of Foundation Models - FL 2024 International Workshops | FL[at]FM-WWW 2024, Singapore, May 14, 2024; FL[at]FM-ICME 2024, Niagara Falls, ON, Canada, July 15, 2024; FL[at]FM-IJCAI 2024, Jeju Island, South Korea, August 5, 2024; and FL[at]FM-NeurIPS 2024, Vancouver, BC, Canada, December 15, 2024, Revised Select | Han Yu (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xii | Englisch | 2025 | Springer | EAN 9783031822391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 131740661
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. Codice articolo 9783031822391
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Paperback. Condizione: new. Paperback. This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FLatFM-WWW 2024, FLatFM-ICME 2024, FLatFM-IJCAI 2024 and FLatFM-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. This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FLatFM-WWW 2024, FLatFM-ICME 2024, FLatFM-IJCAI 2024 and FLatFM-NeurIPS 2024. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783031822391
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