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FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering

23 April 2024
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
    FedML
ArXiv (abs)PDFHTML

Papers citing "FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering"

4 / 4 papers shown
Title
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical InsightsPeerJ Computer Science (PeerJ CS), 2025
Cosmin Hatfaludi
Alex Serban
FedML
177
0
0
05 Sep 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
Federated Low-Rank Adaptation for Foundation Models: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Yiyuan Yang
Guodong Long
Qinghua Lu
Liming Zhu
Jing Jiang
Chengqi Zhang
AI4CE
253
5
0
16 May 2025
Synergizing Foundation Models and Federated Learning: A Survey
Synergizing Foundation Models and Federated Learning: A Survey
Shenghui Li
Fanghua Ye
Meng Fang
Jiaxu Zhao
Yun-Hin Chan
Edith C. -H. Ngai
Thiemo Voigt
AI4CE
256
9
0
18 Jun 2024
Federated LoRA with Sparse Communication
Federated LoRA with Sparse Communication
Kevin Kuo
Arian Raje
Kousik Rajesh
Virginia Smith
325
22
0
07 Jun 2024
1