2024 FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, and Aviv Shamsian In CVPR, 2024 arXiv Code BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao, Jun Wu, and Jingrui He In AISTATS, 2024 arXiv HTML Code 2023 Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao, Tianxin Wei, Haohan Wang, and Jingrui He In NeurIPS, 2023 arXiv HTML Code Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao, Haohan Wang, Jun Wu, and Jingrui He In ICML, 2023 arXiv HTML Code Website Personalized Federated Learning with Parameter Propagation Jun Wu, Wenxuan Bao, Elizabeth Ainsworth, and Jingrui He In KDD, 2023 HTML PDF Code Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, and Jingrui He SIGKDD Exploration Newsletter, 2023 arXiv HTML Understanding the Effect of Data Augmentation on Knowledge Distillation Ziqi Wang, Chi Han, Wenxuan Bao, and Heng Ji CoRR, 2023 arXiv 2020 Deep Grouping Model for Unified Perceptual Parsing Zhiheng Li, Wenxuan Bao, Jiayang Zheng, and Chenliang Xu In CVPR, 2020 arXiv
