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Zenglin Xu

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Generalized Category Discovery with Clustering Assignment Consistency

Oct 30, 2023
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu

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Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels

Oct 25, 2023
Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu

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Reusing Pretrained Models by Multi-linear Operators for Efficient Training

Oct 16, 2023
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

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Federated Generalization via Information-Theoretic Distribution Diversification

Oct 13, 2023
Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang

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Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks

Oct 05, 2023
Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song

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Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization

Oct 04, 2023
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

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Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling

Oct 04, 2023
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

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Personalized Federated Learning via Amortized Bayesian Meta-Learning

Jul 05, 2023
Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu

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Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

Jun 26, 2023
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

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