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, Lec
Han Yu/Xiaoxiao Li/Zenglin Xu et al
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Zusatztext
This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows: FL@FMWWW 2024, FL@FMICME 2024, FL@FMIJCAI 2024 and FL@FMNeurIPS 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.
Weitere Details
Erschienen: 04.03.2025
Umfang: xii, 182 S., 2 s/w Illustr., 50 farbige Illustr.,
Sprache: ENG
Einband: KT
ISBN/EAN: 9783031822391
Umbreit-Nr.: 5015593
