Prof. Yang Yang

IEEE Fellow,

Hong Kong University of Science and Technology (Guangzhou), China

Bio: Dr. Yang Yang is a Professor with the IoT Thrust, the Director of Research Center for the Digital World with Intelligent Things (DOIT), and the Associate Vice-President for Teaching and Learning at the Hong Kong University of Science and Technology (Guangzhou), China. His research interests include multi-tier computing networks, 5G/6G systems, AIoT technologies, intelligent services and applications, and advanced wireless testbeds. He has published more than 300 papers and filed more than 120 technical patents in these research areas. Yang is a Fellow of the IEEE.

Talk Title: Collaborative Edge Computing for Large AI Models on Wireless Networks

Talk Abstract: Large AI models have emerged as a crucial element in various intelligent applications at the network edge, such as voice assistants in smart homes and autonomous robotics in smart factories. Computing big AI models, e.g., for personalized fine-tuning and continual serving, poses significant challenges to edge devices due to the inherent conflict between limited computing resources and intensive workload associated with training. Despite the constraints of on-device training, traditional approaches usually resort to aggregating data and sending it to a remote cloud for centralized computation. Nevertheless, this approach is neither sustainable, which strains long-range backhaul transmission and energy-consuming datacenters, nor safely private, which shares users’ raw data with remote infrastructures. To address these challenges, we alternatively observe that prevalent edge environments usually contain a diverse collection of trusted edge devices with untapped idle resources, which can be leveraged for edge training acceleration. Motivated by this, we propose to leverage edge collaboration, a novel mechanism that orchestrates a group of trusted edge devices as a resource pool, for expedited, sustainable large AI model computing at the edge. As an initial step, we present a comprehensive framework for building collaborative edge computing systems and analyze in-depth its merits and sustainable scheduling choices following its workflow. To further investigate the impact of its parallelism design, we empirically study a case of four typical parallelisms from the perspective of energy demand with realistic testbeds. Finally, we discuss open challenges for sustainable edge collaboration to point to future directions of edge-centric large AI model computing.

Prof. Gang Wu

University of Electronic Science and Technology of China, China

Bio: Prof. Gang Wu received his B.Eng. and M.Eng. degrees in 1996 and 1999, respectively from School of Communication Engineering, Chongqing University of Post and Telecommunications (CQUPT), Chongqing, China,  and his PhD degree in Communications and Information Systems, University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2004. From June 2004 to Nov. 2005, he was a Lecturer and then an Associate Professor (2005-2015) with UESTC, Chengdu, China. He was a Research Fellow with Positioning and Wireless Technology Centre, Nanyang Technological University, Singapore from Nov. 2005 to Feb. 2007. He was a visiting Professor at Georgia Institute of Technology, Atlanta, U.S. from Oct. 2009 to Sept. 2010. He is currently Professor of National Key Lab of Science and Technology on Communications, UESTC. His current research interest includes interference management and mitigation for heterogeneous networks, energy-efficient multiple-antenna techniques, and cooperative wireless communications. Dr. Wu has published about more than 60 journal and conference articles in referred journals and conferences. Dr. Wu is has been served as TPC member of many International Academic Conferences, such as PIMRC, ICC, GlobalSIP, IEEE/CIC ICCC,  ChinaCom, VTC, et. al. He is the co-recipient of IEEE Globecom 2012 Best Paper Award. He is an IEEE Member since 2005.

Prof. Qingchun Chen

IEEE Senior Member

Guangzhou University, China

Bio: Chen Qingchun, male, doctor, professor, doctoral supervisor, first-level discipline leader of Information and Communication Engineering of Guangzhou University, senior member of IEEE, associate editor of IEEE Access, member of Information Theory Branch of Chinese Institute of Electronics, New Century Outstanding talents of the Ministry of Education, Visiting scholar (postdoctoral) of Harvard University, USA. He has won the second prize of the Natural Science Award of the Ministry of Education and the IEEE Globecom Best Paper Award in 2016. In July 1994, he graduated from Chongqing University with a bachelor's degree in automatic control; in July 1997, he graduated from Chongqing University with a master's degree in Pattern Recognition and Intelligent control; in March 2004, he graduated from Southwest Jiaotong University with a Doctor's degree in Traffic Information Engineering and control; his dissertation won the 2005 Sichuan Province Excellent Doctoral Dissertation Award. From July 2004 to February 2018, he worked in Southwest Jiaotong University as associate professor, professor and doctoral supervisor successively. Since March 2018, he has been working in the School of Mechanical and Electrical Engineering of Guangzhou University. He is now a professor, doctoral supervisor, and deputy director of the Institute of Sound, Light and Video Technology of Guangzhou University. In the past 5 years, he has published more than 50 papers in IEEE and other international journals and IEEE top academic conferences, and applied for more than 20 Chinese invention patents. His research interests include information theory and coding, wireless communication network, computing and storage communication technology, etc.

Prof. Xiaoping Li

Gungdong University of 

Technology, China

Bio: Dr. Xiaoping Li  is a distinguished professor of the Hundred Talents Program in Gungdong University of Technology. He is an IEEE Senior member and a  Distinguished member of China Computer Federation (CCF). He received his B.Sc. and M.Sc. degrees in Applied Computer Science from the Harbin University of Science and Technology in 1993 and 1999, respectively, and the Ph.D. degree in Applied Computer Science from the Harbin Institute of Technology in 2002.  From Jan. 2003 to Dec. 2004, he did postdoctoral research at the Department of Automation at Tsinghua University, Beijing, China. From Mar. 2009 to Mar. 2010, he was a visiting professor at the National Research Council, London, Ontario, Canada. He is a full professor at the School of Computer Science and Engineering, Southeast University, Nanjing, China. He is the author or co-author over more than 100 academic papers, some of which have been published in international journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing, IEEE Transactions on Cybernetics, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Cloud Computing, IEEE Transactions on Systems, Man and Cybernetics: Systems, Information Sciences, Omega, European Journal of Operational Research, Future Generation Computer Systems, Journal of Grid Computing,  Journal of Supercomputing,  International Journal of Production Research, Expert Systems with Applications, Journal of Network and Computer Applications, Integrated Computer-Aided   Engineering, Cluster Computing, Computers & Industrial Engineering, International Journal of  Computer Integrated Manufacturing, Engineering Optimization, International Journal of Advanced Manufacturing Technology, Science in China Series F: Information Sciences, ICSOC, ICPADS, ICWS, SMC, CASE, CSCWD. His research interests include Scheduling in Cloud Computing, Scheduling in Cloud Manufacturing, Service Computing, Big Data and Machine Learning.

Prof. Dongning Liu

Guangdong University of 

Technology, China

Bio: Dongning Liu is a full professor of Guangdong University of Technology in China  (2009-now). He was born on Jan. in 1979. He is responsible for teaching discrete math in School of Computer Science and Technology. He is engaged in education and technology transfer on collaborative computing. He is a vice dean of School of Computer Science and Technology. Dr. Liu earned a Ph.D. in Logic at Sun Yat-Sen University, Guangzhou, China (2007). He was a post Ph.D. in Math at Sun Yat-Sen University (2007-2009). He was a visiting professor in Nipissing University,North Bay, Canada (2015-2016). 

He has published more than 60 papers on computer magazines and international conferences. He is an associate editor for the IEEE Systems, Man, and Cybernetics Magazine. He is a reviewer for several IEEE Transactions and other journals. He is a Technical Committee member of TC on Distributed Intelligent Systems (DIS) of IEEE Society, Distinguished Member of China Computer Federation(CCF), and a Committee member of TC on Cooperative Computing of CCF.