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FairVFL: A Fair Vertical Federated Learning Framework with Contrastive
  Adversarial Learning

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

7 June 2022
Tao Qi
Fangzhao Wu
Chuhan Wu
Lingjuan Lyu
Tongye Xu
Zhongliang Yang
Yongfeng Huang
Xing Xie
    FedML
ArXivPDFHTML

Papers citing "FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning"

11 / 11 papers shown
Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
Contrastive Federated Learning with Tabular Data Silos
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar
Xue Li
Wen Hua
Jiaming Pei
FedML
79
2
0
17 Feb 2025
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
46
16
0
26 May 2024
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
44
10
0
03 Feb 2023
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
50
10
0
01 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
57
161
0
23 Nov 2022
Achieving Model Fairness in Vertical Federated Learning
Achieving Model Fairness in Vertical Federated Learning
Changxin Liu
Zhenan Fan
Zirui Zhou
Yang Shi
J. Pei
Lingyang Chu
Yong Zhang
FedML
60
12
0
17 Sep 2021
Federated Multi-View Learning for Private Medical Data Integration and
  Analysis
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
FedML
63
40
0
04 May 2021
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
102
230
0
21 Apr 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 Feb 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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