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

Häftad, Engelska, 2025

Av Han Yu, Xiaoxiao Li, Zenglin Xu, Randy Goebel, Irwin King

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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.

Produktinformation

  • Utgivningsdatum2025-03-04
  • Mått155 x 235 x 14 mm
  • Vikt314 g
  • FormatHäftad
  • SpråkEngelska
  • SerieLecture Notes in Artificial Intelligence
  • Antal sidor182
  • FörlagSpringer International Publishing AG
  • ISBN9783031822391

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