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Toward Understanding the Influence of Individual Clients in Federated Learning


Dec 20, 2020
Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen

* Accepted by AAAI 2021 

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Distributed Optimization over Block-Cyclic Data


Feb 18, 2020
Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia


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MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding


Feb 18, 2020
Chaoqi Yang, Junwei Lu, Xiaofeng Gao, Haishan Liu, Qiong Chen, Gongshen Liu, Guihai Chen

* 8 Pages, Extensive Experiments 

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Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability


Feb 18, 2020
Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu

* ICML 2020 Submission 

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Online Pricing with Reserve Price Constraint for Personal Data Markets


Nov 28, 2019
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen

* A short version is accepted by IEEE International Conference on Data Engineering (ICDE) 2020, and the source code is available from https://github.com/NiuChaoyue/Personal-Data-Pricing/ 

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Secure Federated Submodel Learning


Nov 11, 2019
Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen


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Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling


Oct 28, 2019
Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen


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Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems


Mar 25, 2019
Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen

* Accepted by WWW2019 as a full paper with oral presentation 

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Accelerate RNN-based Training with Importance Sampling


Oct 31, 2017
Fei Wang, Xiaofeng Gao, Guihai Chen, Jun Ye


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