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FairRoad: Achieving Fairness for Recommender Systems with Optimized
  Antidote Data

FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data

13 December 2022
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
ArXivPDFHTML

Papers citing "FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data"

3 / 3 papers shown
Title
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
73
2
0
17 Jan 2025
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang
Minghao Sun
Qi Li
Neil Zhenqiang Gong
Jinhua Tian
Jia-Wei Liu
47
34
0
18 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
106
611
0
27 Dec 2020
1