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Chaochao Chen

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Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering

Nov 23, 2023
Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng

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Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems

Oct 06, 2023
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang

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In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems

Sep 04, 2023
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li

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Defending Label Inference Attacks in Split Learning under Regression Setting

Aug 18, 2023
Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng

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Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data

Aug 17, 2023
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

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Decentralized Graph Neural Network for Privacy-Preserving Recommendation

Aug 15, 2023
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang

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Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks

Aug 15, 2023
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian

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HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning

Jul 26, 2023
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi

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Federated Large Language Model: A Position Paper

Jul 18, 2023
Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng

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Federated Unlearning via Active Forgetting

Jul 07, 2023
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang

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