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FedX: Unsupervised Federated Learning with Cross Knowledge Distillation


Jul 19, 2022
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha

* Accepted and will be published at ECCV2022 

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


Jun 07, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie


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FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation


Apr 21, 2022
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie


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PrivateRec: Differentially Private Training and Serving for Federated News Recommendation


Apr 18, 2022
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie


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FUM: Fine-grained and Fast User Modeling for News Recommendation


Apr 10, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang

* SIGIR 2022 

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News Recommendation with Candidate-aware User Modeling


Apr 10, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang

* SIGIR 2022 

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ProFairRec: Provider Fairness-aware News Recommendation


Apr 10, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie

* SIGIR 2022 

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Unified and Effective Ensemble Knowledge Distillation


Apr 01, 2022
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang


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FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation


Apr 01, 2022
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang


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End-to-end Learnable Diversity-aware News Recommendation


Apr 01, 2022
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang


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