Led the development of HyperFedX, a novel framework combining explainable AI with federated learning to prevent free-rider behavior in distributed systems.
Summer Research Intern
EEG Lab, Swartz Center for Computational Neuroscience, UCSD
Applied large language models to analyze EEG signals and eye-tracking data from the ZuCo dataset
Education
BSc Electronics and Electrical Engineering
National Yang Ming Chiao Tung University
Research focuses include Federated Learning, XAI, and Spilt Federate Learning techniques.