publications

2026

  1. ICLR
    Fed-Duet: Dual Expert-Orchestrated Framework for Continual Federated Vision-Language Learning
    Junwei Chen Tao Guo, and Laizhong Cui
    International Conference on Learning Representations, 2026
  2. WASA
    FedPCR: Prototype-Guided Clustering and Reflective Retrieval for Personalized Federated Foundation Models
    Zhuohong Lu Tao Guo, and Laizhong Cui
    【Best paper award】The 20th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, 2026

2024

  1. TMC
    Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning
    Tao Guo, Song Guo, and Junxiao Wang
    IEEE Transactions on Mobile Computing, 2024
  2. WWW
    Poisoning Attack on Federated Knowledge Graph Embedding
    Enyuan Zhou, Song Guo, Zhixiu Ma, and 3 more authors
    Proceedings of the ACM Web Conference, 2024

2023

  1. TMC
    Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model
    Tao Guo, Song Guo, Junxiao Wang, and 2 more authors
    IEEE Transactions on Mobile Computing, 2023
  2. WWW
    pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
    Tao Guo, Song Guo, and Junxiao Wang
    Proceedings of the ACM Web Conference, 2023
  3. TMC
    Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
    Tao Guo, Song Guo, Feijie Wu, and 5 more authors
    IEEE Transactions on Mobile Computing, 2023

2022

  1. arXiv
    Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
    Tao Guo, Song Guo, Jiewei Zhang, and 2 more authors
    arXiv preprint arXiv:2202.13295, 2022
  2. NIPS
    Hierarchical channel-spatial encoding for communication-efficient collaborative learning
    Qihua Zhou, Song Guo, Yi Liu, and 6 more authors
    Advances in Neural Information Processing Systems, 2022

2021

  1. ATC
    Octo: INT8 Training with loss-aware compensation and backward quantization for tiny on-device learning
    Qihua Zhou, Song Guo, Zhihao Qu, and 6 more authors
    In 2021 USENIX Annual Technical Conference (USENIX ATC 21), 2021