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Leveraging Foundation Models for Efficient Federated Learning in
  Resource-restricted Edge Networks

Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks

14 September 2024
S. K. Atapour
S. J. Seyedmohammadi
S. Mohammad Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
Arash Mohammadi
    FedML
ArXiv (abs)PDFHTML

Papers citing "Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks"

3 / 3 papers shown
Title
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
Yi Xin
Jianjiang Yang
Haodi Zhou
Junlong Du
Qi Qin
...
Bin Fu
Xiaokang Yang
Guangtao Zhai
Ming-Hsuan Yang
Xiaohong Liu
VLM
441
86
0
01 Jul 2025
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning EnvironmentsComputer Communications (Comput. Commun.), 2025
Gaith Rjouba
Hanae Elmekki
Saidul Islam
Jamal Bentahar
Rachida Dssouli
230
6
0
04 Feb 2025
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFinAI4CE
505
119
0
27 Jun 2023
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