I am currently a second-year PhD student at University of St Andrews. I received a B.S. degree in Information System and Information Management from Northeast Forestry University, China in 2015, and an M.S. degree in Data Science from University of Southampton, UK in 2018.
My current research focus on the intersection of distributed machine learning and edge computing that could make artificial intelligence ubiquitous in the future. To realise this vision, ML systems, both for training and inference, should not be limited to only running at the cloud but in a synergistic cooperation with end devices and edge nodes. However, it currently suffers from issues such as intensive computation/communication overhead, limited resources and heterogeneous environment. To bridge the gap, my PhD project aims to build efficient, robust and flexible ML systems by exploring advanced techniques, e.g. federated learning, edge computing and model compression.