publications by categories in reversed chronological order. generated by jekyll-scholar.


  1. Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback
    Jingwei Sun, Zhixu Du, and Yiran Chen
    arXiv preprint arXiv:2405.19686, 2024
  2. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

    Best Paper Award in Federated Learning on the Edge, 2024 AAAI Spring Series Symposium

    Jingwei Sun, Ziyue Xu, Hongxu Yin, and 6 more authors
    Proceedings of the 41th International Conference on Machine Learning, 2024
  3. MLSys
    SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
    Zhixu Du, Shiyu Li, Yuhao Wu, and 8 more authors
    MLSys2024, 2024


  1. preprint
    PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information
    Lin Duan*, Jingwei Sun*, Yiran Chen, and 1 more author
    preprint, 2023
  2. Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
    Jingwei Sun, Zhixu Du, Anna Dai, and 4 more authors
    arXiv preprint arXiv:2303.18178, 2023
  3. Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
    Jingwei Sun, Ziyue Xu, Dong Yang, and 6 more authors
  4. Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
    Jianyi Zhang, Ang Li, Minxue Tang, and 6 more authors
    arXiv preprint arXiv:2209.15245, 2023


  1. SenSys
    FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices
    Jingwei Sun, Ang Li, Lin Duan, and 8 more authors
  2. DistributedML
    Rethinking normalization methods in federated learning
    Zhixu Du*, Jingwei Sun*, Ang Li, and 4 more authors
    In Proceedings of the 3rd International Workshop on Distributed Machine Learning, 2022
  3. CIC
    Next Generation Federated Learning for Edge Devices: An Overview
    Jianyi Zhang, Zhixu Du, Jingwei Sun, and 7 more authors
    In 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC), 2022


  1. SEC
    LotteryFL: empower edge intelligence with personalized and communication-efficient federated learning
    Ang Li, Jingwei Sun, Binghui Wang, and 4 more authors
    In 2021 IEEE/ACM Symposium on Edge Computing (SEC), 2021
  2. Soteria: Provable defense against privacy leakage in federated learning from representation perspective
    Jingwei Sun, Ang Li, Binghui Wang, and 3 more authors
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021
  3. MobiCom
    Hermes: an efficient federated learning framework for heterogeneous mobile clients
    Ang Li, Jingwei Sun, Pengcheng Li, and 3 more authors
    In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 2021
  4. Fl-wbc: Enhancing robustness against model poisoning attacks in federated learning from a client perspective
    Jingwei Sun, Ang Li, Louis DiValentin, and 3 more authors
    Advances in Neural Information Processing Systems, 2021
  5. SenSys
    Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking
    Ang Li, Jingwei Sun, Xiao Zeng, and 3 more authors
    In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021