Xuefeng Jiang

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Zhiyuan WuInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Bo GaoBeijing Jiaotong University, Virginia Tech (Ph.D)Verified email at bjtu.edu.cn
Yuwei WangInstitute of Computing Technology Chinese Academy of SciencesVerified email at ict.ac.cn
Ke XUComputer Science Department, Tsinghua UniversityVerified email at tsinghua.edu.cn
Xujing LiInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Nannan WuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Kwang-Ting (Tim) ChengChair Professor of ECE and CSE, HKUSTVerified email at ust.hk
Zengqiang YanAssoc. Prof. HUST & Ph.D. HKUSTVerified email at connect.ust.hk
Ju RenDepartment of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Jingjing XueInstitute of Computing Technology, University of Chinese Academy of SciencesVerified email at ict.ac.cn
Min LiuInstitute of computing technology, CAS

Xuefeng Jiang

Other namesX Jiang

Institute of Computing Technology, Chinese Academy of Sciences

Verified email at ict.ac.cn - Homepage

Machine Learning Distributed Optimization Autonomous Driving


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Towards Federated Learning against Noisy Labels via Local Self-Regularization X Jiang, S Sun, Y Wang, M Liu Proceedings of the 31st ACM International Conference on Information …, 2022	19	2022
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Z Wu, S Sun, Y Wang, M Liu, X Jiang, B Gao IEEE Transactions on Parallel and Distributed Systems, 2023	17	2023
Survey of knowledge distillation in federated edge learning Z Wu, S Sun, Y Wang, M Liu, X Jiang, R Li, B Gao arXiv preprint arXiv:2301.05849, 2023	11	2023
Fedcache: A knowledge cache-driven federated learning architecture for personalized edge intelligence Z Wu, S Sun, Y Wang, M Liu, K Xu, W Wang, X Jiang, B Gao, J Lu IEEE Transactions on Mobile Computing, 2024	10	2024
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity ZY Nannan Wu, Li Yu, Xuefeng Jiang, Kwang-Ting Cheng International Joint Conference on Artificial Intelligence (IJCAI-23), 2023	7*	2023
Agglomerative federated learning: Empowering larger model training via end-edge-cloud collaboration Z Wu, S Sun, Y Wang, M Liu, B Gao, Q Pan, T He, X Jiang arXiv preprint arXiv:2312.11489, 2023	2	2023
Federated skewed label learning with logits fusion Y Wang, R Li, H Tan, X Jiang, S Sun, M Liu, B Gao, Z Wu arXiv preprint arXiv:2311.08202, 2023	2	2023
Federated Classification Tasks in Long-tailed Data Environments via Classifier Representation Adjustment and Calibration X Li, S Sun, M Liu, J Ren, X Jiang, T He Authorea Preprints, 2023	2	2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout J Xue, M Liu, S Sun, Y Wang, H Jiang, X Jiang 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023	1	2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization X Li, M Liu, S Sun, Y Wang, H Jiang, X Jiang IPDPS 2023, 2023	1	2023
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Z Wu, T He, S Sun, Y Wang, M Liu, B Gao, X Jiang arXiv preprint arXiv:2401.00622, 2024		2024

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