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A Survey on Efficient Federated Learning Methods for Foundation Model Training
International Joint Conference on Artificial Intelligence (IJCAI), 2024
9 January 2024
Herbert Woisetschläger
Alexander Isenko
Shiqiang Wang
R. Mayer
Hans-Arno Jacobsen
FedML
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Papers citing
"A Survey on Efficient Federated Learning Methods for Foundation Model Training"
17 / 17 papers shown
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models
Nikita Agrawal
Simon Mertel
R. Mayer
435
0
0
24 Dec 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
222
1
0
14 Oct 2025
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
PeerJ Computer Science (PeerJ CS), 2025
Cosmin Hatfaludi
Alex Serban
FedML
254
3
0
05 Sep 2025
Fairness in Federated Learning: Trends, Challenges, and Opportunities
Advanced Intelligent Systems (Adv. Intell. Syst.), 2025
Noorain Mukhtiar
A. Mahmood
Quan Z. Sheng
FedML
208
4
0
31 Aug 2025
On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
Tao Guo
Junxiao Wang
Fushuo Huo
Laizhong Cui
Song Guo
Jie Gui
Dacheng Tao
129
0
0
22 Aug 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
229
0
0
14 Aug 2025
FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
A. Shakeri
Wei Zhang
Amin Beheshti
Weitong Chen
J. Yang
L. Yang
FedML
207
0
0
22 Jul 2025
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review
Mrinmay Sen
Shruti Aparna
Rohit Agarwal
C Krishna Mohan
FedML
413
0
0
03 Jun 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
392
8
0
16 May 2025
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
...
Haicheng Liao
Zhijiang Guo
Li Li
Chengzhong Xu
Chengzhong Xu
FedML
666
5
0
15 Mar 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Pengchen Liang
Bin Pu
Haishan Huang
Yiwei Li
Jian Shu
Weibo Ma
Qing Chang
VLM
MedIm
396
8
0
24 Feb 2025
Ten Challenging Problems in Federated Foundation Models
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
704
45
0
14 Feb 2025
One-shot Federated Learning Methods: A Practical Guide
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Xiang Liu
Zhenheng Tang
Xia Li
Yijun Song
Sijie Ji
Zemin Liu
Bo Han
Linshan Jiang
Jialin Li
FedML
458
12
0
13 Feb 2025
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
Shenghui Li
Edith C.H. Ngai
Fanghua Ye
Thiemo Voigt
SILM
497
9
0
28 Nov 2024
Federated Learning in Practice: Reflections and Projections
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
407
35
0
11 Oct 2024
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
L. Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
591
27
0
24 Sep 2024
Consensus learning: A novel decentralised ensemble learning paradigm
Horia Magureanu
Nairi Usher
245
4
0
25 Feb 2024
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