Hui Zeng
Hui Zeng currently a Ph.D student in School of Computer at National University of Defense Technology (NUDT), advised by Prof. Zhiping Cai. Previously, I received my bachelor degree (Software Engineering) at Sun Yat-sen University (SYSU), and my master degree at NUDT. My current interests including Federated learning, Backdoor Attacks, Security of AIGC.
Publications
2023
- [IoTJ]
Wu, Hongjia, Hui Zeng, Tongqing Zhou*, Zhiping Cai*, Zehui Xiong, Dusit Tao Niyato and Zhu Han.
“From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning.”
IEEE Internet of Things Journal (IoTJ) (2023): 8202-8214.
(Q1, CCF-C)
[Link]
2022
- [SRDS]
Hui Zeng, Tongqing Zhou*, Xinyi Wu, Zhiping Cai*.
“Never Too Late: Tracing and Mitigating Backdoor Attacks in Federated Learning.”
Proc. of IEEE International Symposium on Reliable Distributed Systems (SRDS) (2022): 69-81.
(CCF-B, acceptance rate=23%) Best paper candidate!
[Paper] [Presentation] [Code]
2021
- [ICPP]
Hui Zeng, Tongqing Zhou*, Yeting Guo, Zhiping Cai* and Fang Liu.
“FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning.”
Proc. of International Conference on Parallel Processing (ICPP) (2021): 1-10.
(CCF-B, acceptance rate=26.4%)
[Paper] [Presentation] [Code] - [Ubicomp]
Guo, Yeting, Fang Liu*, Zhiping Cai, Hui Zeng, Li Chen, Tongqing Zhou and Nong Xiao*.
“PREFER: Point-of-interest REcommendation with efficiency and privacy-preservation via Federated Edge leaRning.”
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (2021): 13:1-13:25. (CCF-A)
[Paper]
Awards
- [Best Paper Candidate] The 41st IEEE International Symposium on Reliable Distributed Systems, 2022.
Projects
- [On the way] ???, ????-????.