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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

Federated Learning in the Age of Foundation Models - FL 2024 ...

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

Contenu

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.

Informations bibliographiques

mars 2025, 182 pages, Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, Anglais
Springer International Publishing
978-3-031-82239-1

Mots-clés

Autres titres de la collection: Lecture Notes in Computer Science

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