| Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model T Guo, S Guo, J Wang, X Tang, W Xu IEEE Transactions on Mobile Computing, 2023 | 42 | 2023 |
| Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning Q Zhou, S Guo, Z Qu, J Guo, Z Xu, J Zhang, T Guo, B Luo, J Zhou 2021 {USENIX} Annual Technical Conference ({USENIX}{ATC} 21), 177-191, 2021 | 33 | 2021 |
| pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning T Guo, S Guo, J Wang Proceedings of the ACM Web Conference 2023, 1364-1374, 2023 | 18 | 2023 |
| Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations T Guo, S Guo, J Zhang, W Xu, J Wang arXiv preprint arXiv:2202.13295, 2022 | 10* | 2022 |
| Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration T Guo, S Guo, F Wu, W Xu, J Zhang, Q Zhou, Q Chen, W Zhuang IEEE Transactions on Mobile Computing, 2023 | 3 | 2023 |
| Hierarchical channel-spatial encoding for communication-efficient collaborative learning Q Zhou, S Guo, Y Liu, J Zhang, J Zhang, T Guo, Z Xu, X Liu, Z Qu Advances in Neural Information Processing Systems 35, 5788-5801, 2022 | 1 | 2022 |
