My current research focused on federated learning, aiming to improve computation and communication efficiency and enhance model robustness under domain drift. My primary goal is to make neural networks trainable and functional on edge devices. I am also interested in model optimization in general, including techniques such as weight sharing, data-centric optimization, model pruning, and compression.
Listed skills include Java, Front End Development, Public Relations, Project Management, and 2 others.