Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

Han Yu • Xiaoxiao Li • Zeng Lin Xu • Randy Goebel • Irwin King

Pocket

1169:-

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400 sidor
2025

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.

Författare: Han Yu, Xiaoxiao Li, Zeng Lin Xu, Randy Goebel, Irwin King
Format: Pocket/Paperback
ISBN: 9783031822391
Språk: Engelska
Antal sidor: 400
Utgivningsdatum: 2025-02-18
Förlag: Springer International Publishing AG