| Title | : | Federated Learning in the Age of Foundation Models - FL 2024 International Workshops |
|---|---|---|
| Author | : | Han Yu, Xiaoxiao Li, Zenglin Xu, Randy Goebel & Irwin King |
| Release | : | 2025-03-03 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books |
| Size | : | 26245087 |
| 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. |
