Paperback. This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FLatFM-WWW 2024, FLatFM-ICME 2024, FLatFM-IJCAI 2024 and FLatFM-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. This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FLatFM-WWW 2024, FLatFM-ICME 2024, FLatFM-IJCAI 2024 and FLatFM-NeurIPS 2024. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Federated Learning in the Age of Foundation Models - FL 2024 International Workshops (Paperback)
Publisher: Springer International Publishing AG, Cham
Publication Date: 2025
Language: English
ISBN 10: 3031822390
ISBN 13: 9783031822391
Binding: Paperback
Condition: new

About this title

Synopsis

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.

"About this title" may belong to another edition of this title.

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