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FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation

24 May 2025
Zihao Peng
Jiandian Zeng
Boyuan Li
Guo Li
Shengbo Chen
Tian Wang
    FedML
ArXivPDFHTML

Papers citing "FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation"

12 / 12 papers shown
Title
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
122
7
0
14 Feb 2025
Federated LoRA with Sparse Communication
Federated LoRA with Sparse Communication
Kevin Kuo
Arian Raje
Kousik Rajesh
Virginia Smith
87
9
0
07 Jun 2024
Improving LoRA in Privacy-preserving Federated Learning
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun
Zitao Li
Yaliang Li
Bolin Ding
59
70
0
18 Mar 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang
Jason D. Lee
Ernest K. Ryu
56
15
0
19 Feb 2024
The Expressive Power of Low-Rank Adaptation
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng
Kangwook Lee
69
57
0
26 Oct 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Weirui Kuang
Bingchen Qian
Zitao Li
Daoyuan Chen
Dawei Gao
Xuchen Pan
Yuexiang Xie
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
58
119
0
01 Sep 2023
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
AIFin
AI4CE
118
93
0
27 Jun 2023
Towards Building the Federated GPT: Federated Instruction Tuning
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang
Saeed Vahidian
Martin Kuo
Chunyuan Li
Ruiyi Zhang
Tong Yu
Yufan Zhou
Guoyin Wang
Yiran Chen
ALM
FedML
60
118
0
09 May 2023
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
236
931
0
27 Apr 2023
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
146
5,328
0
07 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
223
9,946
0
17 Jun 2021
Local SGD Converges Fast and Communicates Little
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
FedML
152
1,056
0
24 May 2018
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