IEEE Conferences

EDGE 2021 - Keynote 11
Jiannong Cao, The Hong Kong Polytechnic University
December 19, 6:00 - 7:00 UTC; 14:00 - 15:00 Beijing Time

Distributed Collaborative Edge Computing

Recently, we witness the emerging advanced IoT applications in industrial internet, connected health, multi-robot systems, supply chains and other areas where the scale of the systems, the number of devices and data being generated continuously increases. They demand larger scale of the systems, higher intelligence of the connected devices, and better decision making leveraged by big IoT data analytics and the advancement of AI technologies. Edge computing is an emerging paradigm where the computation tasks are moved from centralized cloud to edge nodes which are closer to data sources. It facilitates the evolution of IoT from instrumentation and interconnection to intelligence. This talk shares our vision on future collaborative edge computing where edge nodes share data and computation resources and collaborate to perform tasks and achieve distributed intelligence. I will describe the major challenges such as distributed resource management, conflicting network flows, heterogeneous devices, and localized data sources, and share our works addressing the problems in distributed collaboration at the edge, including collaborative task execution, distributed machine learning, and distributed autonomous cooperation.

Dr. Cao is the Otto Poon Charitable Foundation Professor in Data Science and the Chair Professor of Distributed and Mobile Computing in the Department of Computing at The Hong Kong Polytechnic University. He is the Dean of Graduate School, director of Research Institute for AIoT, director of Internet and Mobile Computing Lab and the associate director of University’s Research Facility in Big Data Analytics. He served the department head from 2011 to 2017. Dr. Cao’s research interests include parallel and distributed computing, wireless networking and mobile computing, big data and machine learning, and cloud and edge computing. He published 5 co-authored and 9 co-edited books, and over 500 papers in major international journals and conference proceedings. He also obtained 13 patents. Dr. Cao received many awards for his outstanding research achievements. He is a member of Academia Europaea, a fellow of IEEE and a distinguished member of ACM. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.