Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. - Qihua Zhou; Song Guo 001; Zhihao Qu; Jingcai Guo; Zhenda Xu; Jiewei Zhang; Tao Guo 004; Boyuan Luo; Jingren Zhou 001 (USENIX ATC, 2021)

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning. - Qihua Zhou; Song Guo 001; Yi Liu 057; Jie Zhang 076; Jiewei Zhang; Tao Guo 004; Zhenda Xu; Xun Liu; Zhihao Qu (NeurIPS, 2022)

Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space. - Tao Guo 004; Song Guo 001; Jiewei Zhang; Wenchao Xu 001; Junxiao Wang (CoRR, 2022)

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model. - Tao Guo 004; Song Guo 001; Junxiao Wang; Wenchao Xu 001 (CoRR, 2022)

pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning. - Tao Guo 004; Song Guo 001; Junxiao Wang (WWW, 2023)

Poisoning Attack on Federated Knowledge Graph Embedding. - Enyuan Zhou; Song Guo 001; Zhixiu Ma; Zicong Hong; Tao Guo 004; Peiran Dong (WWW, 2024)

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration. - Tao Guo 004; Song Guo 001; Feijie Wu; Wenchao Xu 001; Jiewei Zhang; Qihua Zhou; Quan Chen 003; Weihua Zhuang (IEEE Trans. Mob. Comput., 2024)

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model. - Tao Guo 004; Song Guo 001; Junxiao Wang; Xueyang Tang; Wenchao Xu 001 (IEEE Trans. Mob. Comput., 2024)

Explore and Cure: Unveiling Sample Effectiveness With Context-Aware Federated Prompt Tuning. - Tao Guo 004; Song Guo 001; Junxiao Wang (IEEE Trans. Mob. Comput., 2024)