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

Zhongliang Yang

Xing Xie

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

10 / 10 papers shown

Title
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 71 2 0 17 Feb 2025
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 38 16 0 26 May 2024
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 36 10 0 03 Feb 2023
Vertical Federated Learning: A Structured Literature Review Afsana Khan M. T. Thij A. Wilbik FedML 45 10 0 01 Dec 2022
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 51 160 0 23 Nov 2022
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 58 12 0 17 Sep 2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis Sicong Che Hao Peng Lichao Sun Yong Chen Lifang He FedML 58 40 0 04 May 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 100 228 0 21 Apr 2021
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 29 76 0 25 Feb 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018