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Shaojie Tang

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Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space

Jul 26, 2023
Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen

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Unlocking the Potential of Federated Learning for Deeper Models

Jun 05, 2023
Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen

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Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints

Apr 13, 2023
Shaojie Tang, Jing Yuan

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Achieving Long-term Fairness in Submodular Maximization through Randomization

Apr 10, 2023
Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng

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DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models

Mar 18, 2023
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen

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Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes

Feb 21, 2023
Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin

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Group Fairness in Non-monotone Submodular Maximization

Feb 03, 2023
Jing Yuan, Shaojie Tang

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One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design

Nov 11, 2022
Yikai Yan, Chaoyue Niu, Fan Wu, Qinya Li, Shaojie Tang, Chengfei Lyu, Guihai Chen

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Worst-Case Adaptive Submodular Cover

Oct 31, 2022
Jing Yuan, Shaojie Tang

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Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems

Oct 03, 2022
Yaoyao Zhang, Chaojie Zhu, Shaojie Tang, Ringli Ran, Ding-Zhu Du, Zhao Zhang

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