Towards Self-learning Edge Intelligence in 6G

Speaker:   Prof. Yong Xiao

Time:       9:00-10:00, Oct. 22

Location:  SIST 3-201

Host:       Yang Yang

Abstract:

Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing. It has been considered to be one of the key missing components in the existing 5G network and is widely recognized to be one of the most sought-after functions for tomorrow's wireless 6G cellular systems. In this talk, I will give a brief overview about the current state-of-the-art of edge computing-based B5G system and its potential path towards edge intelligence in 6G. Key requirements and major challenges for edge-native AI in 6G, driven by recent trends in AI and edge intelligence will be discussed. I will then introduce some of my recent works on edge intelligence and distributed AI. Future research topics and open problems will also be discussed.

Bio:

Yong Xiao is a professor in the School of Electronic Information and Communications at the Huazhong University of Science and Technology (HUST), Wuhan, China. He is also the associate group leader in the network intelligence group of IMT-2030 (6G promoting group) and the vice director of 5G Verticals Innovation Laboratory jointly founded by HUST, Ericsson, and China Mobile. Before he joins HUST, he was a research assistant professor in the Department of Electrical and Computer Engineering at the University of  Arizona  where he  was  also  the  center  manager  of  the  Broadband  Wireless  Access  and  Applications Center (BWAC), an NSF Industry/University Cooperative Research Center (I/UCRC) led by the University of Arizona. His research interests include machine learning, game theory, and their applications in cloud/fog/mobile edge computing, green communication systems, wireless networks, and Internet-of-Things (IoT).

SIST-Seminar 18247