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
Irwin King editor Zenglin Xu editor Han Yu editor Randy Goebel editor Xiaoxiao Li editor
Format:Paperback
Publisher:Springer International Publishing AG
Publishing:2nd Apr '25
£44.99
This title is due to be published on 2nd April, and will be despatched as soon as possible.
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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.
ISBN: 9783031822391
Dimensions: unknown
Weight: unknown
182 pages