cv
Table of contents
Basics
| Name | Tao Guo |
| cocotao.guo@connect.polyu.hk | |
| Research interest | Edge Learning, Federated Learning, Trustworthy Machine Learning and Large Vision-Language Models |
Education
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2020 - 2024 -
2017 - 2019 M.S.
Columbia University in the City of New York, New York, U.S.
Statistics, Graduate School of Arts and Sciences
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2016 - 2016 -
2013 - 2017 B.E.
B.E. Huazhong University of Science and Technology, Wuhan, China
Computer Science and Technology, School of Computer Science and Technology
Publications
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2024 Poisoning Attack on Federated Knowledge Graph Embedding
Zhou, Enyuan and Guo, Song and Ma, Zhixiu and Hong, Zicong and Guo, Tao and Dong, Peiran
Proceedings of the ACM Web Conference 2024
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2024 Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning
Guo, Tao and Guo, Song and Wang, Junxiao
IEEE Transactions on Mobile Computing
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2023 Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
Guo, Tao and Guo, Song and Wu, Feijie and Xu, Wenchao and Zhang, Jiewei and Zhou, Qihua and Chen, Quan and Zhuang, Weihua
IEEE Transactions on Mobile Computing
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2023 pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
Guo, Tao and Guo, Song and Wang, Junxiao
Proceedings of the ACM Web Conference 2023
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2023 Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model
Guo, Tao and Guo, Song and Wang, Junxiao and Tang, Xueyang and Xu, Wenchao
IEEE Transactions on Mobile Computing
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2022 Hierarchical channel-spatial encoding for communication-efficient collaborative learning
Zhou, Qihua and Guo, Song and Liu, Yi and Zhang, Jie and Zhang, Jiewei and Guo, Tao and Xu, Zhenda and Liu, Xun and Qu, Zhihao
Advances in Neural Information Processing Systems
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2022 Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Guo, Tao and Guo, Song and Zhang, Jiewei and Xu, Wenchao and Wang, Junxiao
arXiv preprint arXiv:2202.13295
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2021 Octo: INT8 Training with loss-aware compensation and backward quantization for tiny on-device learning
Zhou, Qihua and Guo, Song and Qu, Zhihao and Guo, Jingcai and Xu, Zhenda and Zhang, Jiewei and Guo, Tao and Luo, Boyuan and Zhou, Jingren
2021 USENIX Annual Technical Conference (USENIX ATC 21)
Awards
- 2015 - 2016
School of Computer Science People's Scholarship
Huazhong University of Science and Technology, Wuhan, China
- 2014 - 2015
School of Computer Science People's Scholarship
Huazhong University of Science and Technology, Wuhan, China