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Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning


Aug 25, 2022
Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu


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Towards Fairness-Aware Multi-Objective Optimization


Jul 22, 2022
Guo Yu, Lianbo Ma, Wei Du, Wenli Du, Yaochu Jin


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Poisoning Attacks on Fair Machine Learning


Oct 17, 2021
Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu


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Fair Regression under Sample Selection Bias


Oct 08, 2021
Wei Du, Xintao Wu, Hanghang Tong


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Robust Fairness-aware Learning Under Sample Selection Bias


May 24, 2021
Wei Du, Xintao Wu


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Fairness-aware Agnostic Federated Learning


Oct 10, 2020
Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong

* 12 pages, 3 figures 

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PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing


May 24, 2020
Ang Li, Wei Du, Qinghua Li


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Multi-Resolution A*


Apr 14, 2020
Wei Du, Fahad Islam, Maxim Likhachev


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Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy


Mar 08, 2020
Depeng Xu, Wei Du, Xintao Wu


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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach


Feb 06, 2020
Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du

* 7 pages, 7 figures 

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