Erschienen: 03.03.2025 Abbildung von Yu / Li | Federated Learning in the Age of Foundation Models - FL 2024 International Workshops | 1. Auflage | 2025 | beck-shop.de

Abbildung von Yu / Li | Federated Learning in the Age of Foundation Models - FL 2024 International Workshops | 1. Auflage | 2025 | beck-shop.de

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Neu Erschienen: 03.03.2025

Yu / Li / Xu / Goebel / King

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

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2025

182 S. XII, 182 p. 52 illus., 50 illus. in color..

In englischer Sprache

Springer International Publishing. ISBN 978-3-031-82240-7

Das Werk ist Teil der Reihe: Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

Produktbeschreibung

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.