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portada Federated Learning in the age of Foundation Models - fl 2024 International Workshops: Fl@Fm-Www 2024, Singapore, may 14, 2024; Fl@Fm-Icme 2024,. (Lecture Notes in Computer Science, 15501)
Type
Physical Book
Publisher
Author
Language
English
Pages
194
Format
Paperback
ISBN13
9783031822391

Federated Learning in the age of Foundation Models - fl 2024 International Workshops: Fl@Fm-Www 2024, Singapore, may 14, 2024; Fl@Fm-Icme 2024,. (Lecture Notes in Computer Science, 15501)

Yu Han,Li Xiaoxiao,Xu Zenglin (Author) · Springer · Paperback

Federated Learning in the age of Foundation Models - fl 2024 International Workshops: Fl@Fm-Www 2024, Singapore, may 14, 2024; Fl@Fm-Icme 2024,. (Lecture Notes in Computer Science, 15501) - Yu Han,Li Xiaoxiao,Xu Zenglin

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Synopsis "Federated Learning in the age of Foundation Models - fl 2024 International Workshops: Fl@Fm-Www 2024, Singapore, may 14, 2024; Fl@Fm-Icme 2024,. (Lecture Notes in Computer Science, 15501)"

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.

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