IEEE Conferences

EDGE 2021 - Keynote 8
Shangguang Wang, Beijing University of Posts & Telecommunications
December 18, 7:30 - 8:10 UTC; 15:30 - 16:10 Beijing Time

Edge Computing Network for the Large-scale Distributed AI Applications

With more and more ML applications increasing in the mobile network, they brought many challenges. We first introduce the data center network for 5G and its bottleneck. Then we try to give the solution based on the granted project. Finally, we focus on the current progress on edge network collaboration, network topology-aware federal learning, and the large-scale B5G testbed.

Shangguang Wang is a Professor at the School of Computer Science, Beijing University of Posts and Telecommunications, China. He received his Ph.D. degree at Beijing University of Posts and Telecommunications in 2011. He has published more than 150 papers in journals such as IEEE JASC, TMC, TSC, and TCC, and conferences such as IJCAI, INFOCOM, AAAI and ICWS. His research interests include service computing, mobile edge computing, cloud computing, and Satellite Computing. He is currently serving as Chair of IEEE Technical Committee on Services Computing, and Vice-Chair of IEEE Technical Committee on Cloud Computing. He also served as General Chairs or Program Chairs of 10+ IEEE conferences, Advisor/Associate Editors of several journals such as Journal of Cloud Computing, Journal of Software: Practice and Experience, International Journal of Web and Grid Services, China Communications, and so on. He was a Fellow of the IET, and a senior member of the IEEE.