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Cali3F: Calibrated Fast Fair Federated Recommendation System

Cali3F: Calibrated Fast Fair Federated Recommendation System

26 May 2022
Zhitao Zhu
Shijing Si
Jianzong Wang
Jing Xiao
    FedML
ArXivPDFHTML

Papers citing "Cali3F: Calibrated Fast Fair Federated Recommendation System"

6 / 6 papers shown
Title
Co-clustering for Federated Recommender System
Co-clustering for Federated Recommender System
Xinrui He
Shuo Liu
J. Keung
Jingrui He
FedML
47
9
0
03 Nov 2024
Towards Fairness in Provably Communication-Efficient Federated
  Recommender Systems
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
Kirandeep Kaur
Sujit Gujar
Shweta Jain
FedML
48
0
0
03 May 2024
A Survey on Fairness-aware Recommender Systems
A Survey on Fairness-aware Recommender Systems
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
25
40
0
01 Jun 2023
Fairness-aware Differentially Private Collaborative Filtering
Fairness-aware Differentially Private Collaborative Filtering
Zhenhuan Yang
Yingqiang Ge
Congzhe Su
Dingxian Wang
Xiaoting Zhao
Yiming Ying
FedML
37
3
0
16 Mar 2023
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
108
41
0
26 May 2022
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
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