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FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal
  Heterogeneous Federated Learning

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

21 August 2023
Haokun Chen
Yao Zhang
Denis Krompass
Jindong Gu
Volker Tresp
    FedML
ArXivPDFHTML

Papers citing "FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning"

2 / 2 papers shown
Title
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Xiaochen Wang
Jiaqi Wang
Houping Xiao
J. Chen
Fenglong Ma
MedIm
30
0
0
17 Aug 2024
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
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
44
83
0
27 Jun 2023
1