Talk on Collaborative Edge Computing by Prof. Jiannong Cao
We are very pleased to announce the following talk on collaborative edge computing by Prof. Jiannong Cao from Hong Kong Polytechnic University as per the following details:
Collaborative Edge Computing Enabling Distributed Intelligence
The emerging advanced IoT applications in industrial internet, autonomous driving, multi-robot systems, connected healthcare, and other areas demand larger scale network deployment, ultra-low latency, higher intelligence of the connected devices, and better decision making. In this context, centralized cloud computing would face high data transmission cost, high response time, and data privacy issues.
Edge computing seeks to alleviate these inefficiencies by moving the computation and analytics tasks closer to the end devices. However, existing edge computing research focuses on the capability of vertical collaboration among cloud, edge, and end devices, while neglecting horizontal edge-to-edge collaborations, suffering from unoptimized resource utilization, restricted service coverage, and uneven performance.
This talk focuses on future collaborative edge computing where edge nodes share data and computation resources and perform common tasks. It facilitates the evolution of IoT from instrumentation and interconnection to distributed intelligence. I will cover the major problems in distributed collaboration at the edge we are currently studying, namely collaborative task execution, distributed machine learning, and distributed autonomous cooperation. Solutions need to address challenging issues such as cross-node virtualization, distributed data sources, conflicting network flows, heterogeneous devices, consistency, and mutual influence during the training.
Prof. Jiannong Cao
Department of Computing, The Hong Kong Polytechnic University
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, a fellow of CCF and a distinguished member of ACM. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.
14:00- / Thursday, December 8th, 2022
Hybrid(Onsite and Online)
Venue:Room 1509 at National Institute of Informatics (National Center of Sciences)
If you would like to attend, send an email to the address below:
Email : kei [at] nii.ac.jp
Yusheng Ji Laboratory