Ph.D. Student at CUHKSZ, Research Intern at Tencent
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LINs-lab/FedBR
LINs-lab/FedBR Public[ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
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LINs-lab/DynMoE
LINs-lab/DynMoE Public[Preprint] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
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LINs-lab/FedRC
LINs-lab/FedRC Public[ICML 2024] FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Python 4
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