About me
Welcome! I am a Phd candidate in School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen).
Research Interest
- Distributed optimization
- Federated learning, machine learning
Recent News
- Feb. 2024: Our paper, An Accelerated Distributed Stochastic Gradient Method with Momentum (with Shi Pu and Angelia Nedić), is online. In this paper, a simple modification of DSGT leads to vast improvement.
- Dec. 2023: I won the Duan Yong Ping Meritorious Research Award and received the Guotai Junan Securities Scholarship at CUHK-shenzhen.
- Aug. 2023: I gave a short talk about our recent results on distributed stochastic gradient methods at the mini symposium of ICIAM 2023.
- Aug. 2023: I passed the thesis proposal and became a PhD candidate!