Product details:
| ISBN13: | 9783031822391 |
| ISBN10: | 30318223911 |
| Binding: | Paperback |
| No. of pages: | 182 pages |
| Size: | 235x155 mm |
| Language: | English |
| Illustrations: | 2 Illustrations, black & white; 50 Illustrations, color |
| 0 |
Category:
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;
Publisher: Springer
Date of Publication: 4 March 2025
Number of Volumes: 1 pieces, Book
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EUR 53.49
EUR 53.49
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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.