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Advances and Open Challenges in Federated Learning with Foundation
  Models

Advances and Open Challenges in Federated Learning with Foundation Models

23 April 2024
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
Yulan Gao
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
    FedML
    AIFin
    AI4CE
ArXivPDFHTML

Papers citing "Advances and Open Challenges in Federated Learning with Foundation Models"

21 / 21 papers shown
Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Tianyi Zhou
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
168
1
0
02 May 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Vision Foundation Models in Medical Image Analysis: Advances and Challenges
Pengchen Liang
Bin Pu
Haishan Huang
Yiwei Li
H. Wang
Weibo Ma
Qing Chang
VLM
MedIm
106
0
0
24 Feb 2025
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
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
83
4
0
14 Feb 2025
A Survey on Efficient Federated Learning Methods for Foundation Model
  Training
A Survey on Efficient Federated Learning Methods for Foundation Model Training
Herbert Woisetschläger
Alexander Isenko
Shiqiang Wang
R. Mayer
Hans-Arno Jacobsen
FedML
62
23
0
09 Jan 2024
Multi-Session Budget Optimization for Forward Auction-based Federated
  Learning
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
Xiaoli Tang
Han Yu
59
8
0
21 Nov 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
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
85
0
27 Jun 2023
Data Selection for Fine-tuning Large Language Models Using Transferred
  Shapley Values
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
S. Schoch
Ritwick Mishra
Yangfeng Ji
TDI
75
18
0
16 Jun 2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in
  Language Models
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao
Jinming Wen
Anh Tuan Luu
J. Zhao
Jie Fu
SILM
59
89
0
02 May 2023
Detecting Backdoors in Pre-trained Encoders
Detecting Backdoors in Pre-trained Encoders
Shiwei Feng
Guanhong Tao
Shuyang Cheng
Guangyu Shen
Xiangzhe Xu
Yingqi Liu
Kaiyuan Zhang
Shiqing Ma
Xiangyu Zhang
76
47
0
23 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
289
3,003
0
22 Mar 2023
Recent Advances on Federated Learning: A Systematic Survey
Recent Advances on Federated Learning: A Systematic Survey
Bingyan Liu
Nuoyan Lv
Yuanchun Guo
Yawen Li
FedML
60
78
0
03 Jan 2023
Sparse Random Networks for Communication-Efficient Federated Learning
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik
Francesco Pase
Deniz Gunduz
Tsachy Weissman
M. Zorzi
FedML
70
52
0
30 Sep 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
66
24
0
11 Sep 2022
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
93
241
0
09 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
181
267
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
108
611
0
27 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
174
760
0
28 Sep 2019
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