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2403.12313
Cited By
Improving LoRA in Privacy-preserving Federated Learning
International Conference on Learning Representations (ICLR), 2024
18 March 2024
Youbang Sun
Zitao Li
Yaliang Li
Bolin Ding
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Papers citing
"Improving LoRA in Privacy-preserving Federated Learning"
50 / 73 papers shown
ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models
Yujia Wang
Yuanpu Cao
Jinghui Chen
FedML
322
0
0
25 Nov 2025
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
X. Wang
X. Li
Zhixiang Zhou
Chen Li
Y. Liu
106
1
0
23 Nov 2025
ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
Junchao Zhou
Junkang Liu
Fanhua Shang
218
0
0
20 Nov 2025
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
Jiaqi Xue
Mayank Kumar
Yuzhang Shang
Shangqian Gao
Rui Ning
Mengxin Zheng
Xiaoqian Jiang
Qian Lou
FedML
231
1
0
24 Oct 2025
FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients
Fatih Ilhan
Selim Furkan Tekin
Tiansheng Huang
Gaowen Liu
Ramana Rao Kompella
Greg Eisenhauer
Yingyan Celine Lin
C. Pu
Ling Liu
FedML
217
0
0
15 Oct 2025
FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
Sijing Xie
Dingzhu Wen
Changsheng You
Qimei Chen
Mehdi Bennis
Kaibin Huang
155
1
0
14 Oct 2025
Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare
Adam Tupper
Christian Gagné
FedML
MedIm
140
0
0
14 Oct 2025
FedLoRA-Optimizer: Federated LoRA Fine-Tuning with Global and Local Optimization in Heterogeneous Data Scenarios
Jianzhe Zhao
Hailin Zhu
Yu Zhang
Z. Chen
Guibing Guo
192
0
0
13 Oct 2025
PrunedLoRA: Robust Gradient-Based structured pruning for Low-rank Adaptation in Fine-tuning
Xin Yu
Cong Xie
Ziyu Zhao
Tiantian Fan
Lingzhou Xue
Zhi-Li Zhang
306
0
0
30 Sep 2025
PreLoRA: Hybrid Pre-training of Vision Transformers with Full Training and Low-Rank Adapters
Krishu K Thapa
Reet Barik
Krishna Teja Chitty-Venkata
M. Emani
V. Vishwanath
AI4CE
174
0
0
25 Sep 2025
SEQR: Secure and Efficient QR-based LoRA Routing
William Fleshman
Benjamin Van Durme
201
0
0
22 Sep 2025
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
Lei Wang
Jieming Bian
Letian Zhang
Jie Xu
264
5
0
18 Sep 2025
An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
Jiaojiao Zhang
Yuqi Xu
Kun Yuan
FedML
185
0
0
05 Sep 2025
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
IEEE Transactions on Medical Imaging (IEEE TMI), 2025
D. Peng
Yuan Wang
Kangning Cai
Peiyan Ning
Jiming Xu
Yong Liu
Rick Siow Mong Goh
Qingsong Wei
Huazhu Fu
FedML
225
0
0
14 Aug 2025
Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning
Xin Chen
Shuaijun Chen
Omid Tavallaie
Nguyen H. Tran
Shuhuang Xiang
Albert Y. Zomaya
311
0
0
02 Aug 2025
Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages
Yebo Wu
Jingguang Li
Zhijiang Guo
Li Li
245
7
0
31 Jul 2025
FedVLM: Scalable Personalized Vision-Language Models through Federated Learning
Arkajyoti Mitra
Afia Anjum
Paul Agbaje
Mert D. Pesé
Habeeb Olufowobi
VLM
252
2
0
23 Jul 2025
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
IEEE Transactions on Medical Imaging (IEEE TMI), 2025
Minghan Li
Congcong Wen
Yu Tian
Min Shi
Yan Luo
Niraj Pudasaini
Yi Fang
Mengyu Wang
181
3
0
21 Jul 2025
Intrinsic Training Signals for Federated Learning Aggregation
Cosimo Fiorini
Matteo Mosconi
Pietro Buzzega
Riccardo Salami
Simone Calderara
FedML
231
0
0
09 Jul 2025
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges
Sanjeda Akter
Ibne Farabi Shihab
Anuj Sharma
VLM
415
2
0
02 Jul 2025
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Khiem Le
Tuan V. Tran
Ting Hua
Nitesh Chawla
MoE
292
0
0
19 Jun 2025
Position: Pause Recycling LoRAs and Prioritize Mechanisms to Uncover Limits and Effectiveness
Mei-Yen Chen
Thi Thu Uyen Hoang
Michael Hahn
M. Sarfraz
MoMe
292
0
0
16 Jun 2025
Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zikai Zhang
Ping Liu
Jiahao Xu
Rui Hu
277
11
0
13 Jun 2025
FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models
Hariharan Ramesh
Jyotikrishna Dass
217
1
0
10 Jun 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
Computer Vision and Pattern Recognition (CVPR), 2025
Hasin Us Sami
Swapneel Sen
Amit K. Roy-Chowdhury
S. Krishnamurthy
Başak Güler
FedML
SILM
369
4
0
04 Jun 2025
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
Yan Gao
Massimo Roberto Scamarcia
Javier Fernandez-Marques
Mohammad Naseri
Chong Shen Ng
...
Junyan Wang
Zheyuan Liu
Daniel J. Beutel
Lingjuan Lyu
Nicholas D. Lane
ALM
502
6
0
03 Jun 2025
Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
305
1
0
03 Jun 2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
Divyansh Jhunjhunwala
Arian Raje
Madan Ravi Ganesh
Chaithanya Kumar Mummadi
Chaoqun Dong
Jiawei Zhou
Wan-Yi Lin
Gauri Joshi
Zhenzhen Li
342
1
0
01 Jun 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
Shiwei Li
Xiandi Luo
Haozhao Wang
Xing Tang
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
355
5
0
29 May 2025
Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling
Yanzhao Hou
Jiaxiang Geng
Boyu Li
Xiaofeng Tao
Juncheng Wang
Xiaodong Xu
B. Luo
397
0
0
29 May 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair
Michael Lin
Amirreza Talebi
Peizhong Ju
Elizabeth S. Bentley
Jia Liu
FedML
235
4
0
29 May 2025
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
Jianmin Liu
Li Yan
Borui Li
Lei Yu
Chao Shen
340
1
0
27 May 2025
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
Dannong Wang
Jaisal Patel
Daochen Zha
Steve Yang
Xiao-Yang Liu
273
6
0
26 May 2025
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
Zihao Peng
Jiandian Zeng
Boyuan Li
Guo Li
Shengbo Chen
Tian Wang
FedML
454
2
0
24 May 2025
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
Zishuai Zhang
Hainan Zhang
JiaYing Zheng
Ziwei Wang
Jin Dong
Yongxin Tong
Zhiming Zheng
FedML
470
0
0
21 May 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
Seanie Lee
Sangwoo Park
Dong Bok Lee
Dominik Wagner
Haebin Seong
Tobias Bocklet
Juho Lee
Sung Ju Hwang
FedML
464
3
0
19 May 2025
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu
Yujia Wang
Jinghui Chen
Lingzhou Xue
400
5
0
18 May 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Yiyuan Yang
Guodong Long
Qinghua Lu
Liming Zhu
Jing Jiang
Chengqi Zhang
AI4CE
385
8
0
16 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Zhu Han
Choong Seon Hong
AI4CE
454
7
0
11 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Wanrong Zhu
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
1.1K
4
0
02 May 2025
Two Stage Wireless Federated LoRA Fine-Tuning with Sparsified Orthogonal Updates
Bumjun Kim
Wan Choi
306
2
0
01 May 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
Jieming Bian
Yuanzhe Peng
Lei Wang
Yin Huang
Jie Xu
FedML
419
13
0
29 Apr 2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Jin Xie
Ruishi He
Songze Li
Xiaojun Jia
R. Beyah
SILM
AAML
350
2
0
29 Apr 2025
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
MoMe
451
2
0
09 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
496
1
0
31 Mar 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian
Lei Wang
Letian Zhang
Jie Xu
540
11
0
14 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025
Duy Phuong Nguyen
J. P. Muñoz
Tanya Roosta
Ali Jannesari
FedML
378
2
0
10 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
Parameswaran Kamalaruban
Mark Anderson
Stuart Burrell
Maeve Madigan
Piotr Skalski
David Sutton
262
1
0
07 Mar 2025
Can Textual Gradient Work in Federated Learning?
International Conference on Learning Representations (ICLR), 2025
Minghui Chen
Ruinan Jin
Wenlong Deng
Yuanyuan Chen
Zhi Huang
Han Yu
Xiaoxiao Li
FedML
426
9
0
27 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Lav R. Varshney
Praneeth Vepakomma
FedML
317
9
0
21 Feb 2025
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