Til hovedinnhold
Norli Bokhandel

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

2025, Heftet, Engelsk

679,-

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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.

 

Produktegenskaper

  • Bidragsyter

    Yu, Han (Redaktør) ; Zenglin Xu (Redaktør) ; Xiaoxiao Li (Redaktør) ; Randy Goebel (Redaktør) ; Irwin King (Redaktør)
  • Forlag/utgiver

    Springer International Publishing AG
  • Format

    Heftet
  • Språk

    Engelsk
  • Utgivelsesår

    2025
  • Antall sider

    182
  • Serienavn

    Lecture Notes in Computer Science
  • Utgivelsesdato

    04.03.2025
  • Varenummer

    9783031822391

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