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
Series: Lecture Notes in Computer Science; 15501;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 4 March 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031822391
- Binding Paperback
- No. of pages182 pages
- Size 235x155 mm
- Language English
- Illustrations XII, 182 p. 52 illus., 50 illus. in color. Illustrations, black & white 634
Categories
Long description:
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.
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