Distributed Edge Learning for Healthcare Applications 

Title: Distributed Edge Learning for Healthcare Applications

Abstract:

The increasing demand for privacy-preserving and efficient machine learning in healthcare applications has brought attention to distributed edge learning approaches such as federated learning (FL). However, traditional FL methods face significant challenges due to limited labeled data, inter-subject and intra-subject variability, and constrained data diversity at local nodes. This talk will present some innovative frameworks that address these limitations in distinct healthcare contexts.

Bio

Dr. Yiyu Shi is currently a professor in the Department of Computer Science and Engineering at the University of Notre Dame, the site director of National Science Foundation I/UCRC Alternative and Sustainable Intelligent Computing, and the director of the Sustainable Computing Lab (SCL). He is also a visiting scientist at Boston Children’s Hospital, the primary pediatric program of Harvard Medical School. He received his B.S. in Electronic Engineering from Tsinghua University, Beijing, China in 2005, the M.S and Ph.D. degree in Electrical Engineering from the University of California, Los Angeles in 2007 and 2009 respectively. His current research interests focus on hardware intelligence and biomedical applications. In recognition of his research, more than a dozen of his papers have been nominated for or awarded as the best paper in top journals and conferences, including the 2023 IEEE/ACM William J. McCalla ICCAD Best Paper Award, 2021 IEEE Transactions on Computer-Aided Design Donald O Pederson Best Paper Award. He is also the recipient of Facebook Research Award, IBM Invention Achievement Award, NSF CAREER Award, IEEE Region 5 Outstanding Individual Achievement Award, IEEE Computer Society Mid-Career Research Achievement Award, among others. He has served on the technical program committee of many international conferences. He is the deputy editor-in-chief of IEEE VLSI CAS Newsletter, and an associate editor of various IEEE and ACM journals. He is an IEEE CEDA distinguished lecturer and an ACM distinguished speaker.

This talk is supported by JST Moonshot R&D Grant Number JPMJMS2011 Japan.