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

Irwin King editor Zenglin Xu editor Han Yu editor Randy Goebel editor Xiaoxiao Li editor

Format:Paperback

Publisher:Springer International Publishing AG

Publishing:14th Mar '25

£44.99

This title is due to be published on 14th March, and will be despatched as soon as possible.

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

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.

 

ISBN: 9783031822391

Dimensions: unknown

Weight: unknown

400 pages