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books
| book details |
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
Edited by Han Yu, Edited by Xiaoxiao Li, Edited by Zenglin Xu, Edited by Randy Goebel, Edited by Irwin King
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| on special |
normal price: R 1,913.95
Price: R 1,722.95
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| book 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. Â
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 4 Mar 2025
Language |
Format | Paperback / softback
Pages | 182
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0318-2239-1
Readership Age |
BISAC | computers / artificial intelligence
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