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
Häftad, Engelska, 2025
Av Han Yu, Xiaoxiao Li, Zenglin Xu, Randy Goebel, Irwin King
749 kr
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
Produktinformation
- Utgivningsdatum2025-03-04
- Mått155 x 235 x 14 mm
- Vikt314 g
- FormatHäftad
- SpråkEngelska
- SerieLecture Notes in Artificial Intelligence
- Antal sidor182
- FörlagSpringer International Publishing AG
- ISBN9783031822391