The Sustainability of Mobile AI: An Energy Perspective

Abstract: Mobile devices are heavily invested in AI-enabled applications nowadays, with the support of a mobile system including wireless networks, edge, and cloud computing. However, AI applications consume considerably high energy of mobile devices. Energy efficiency has become one of the biggest bottlenecks for running AI-enabled applications on resource-constrained mobile devices. How AI uses the energy resources defines a device’s potential and sustainability. In this talk, the sustainability of mobile AI applications and systems is investigated from an energy’s perspective. Comprehensive energy measurement, benchmark, energy model development, and energy-efficient/energy-aware algorithm design will be presented to achieve a sustainable mobile AI experience.

Professor Jiang (Linda) Xie, IEEE Fellow Department of Electrical and Computer Engineering The University of North Carolina at Charlotte 9201 University City Blvd., Charlotte, NC 28223-0001 URL: http://webpages.charlotte.edu/~jxie1

Brief Bio: Jiang (Linda) Xie is a Professor of the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte, USA. Her research interests include wireless networks, mobile computing, Internet-of-Things, and cloud/edge computing. She received an NSF CAREER Award in 2010, a Best Paper Award from IEEE Global Communications Conference in 2017, and a Best Paper Award from IEEE/WIC/ACM International Conference on Intelligent Agent Technology in 2010. She is on the editorial boards of IEEE Transactions on Wireless Communications, IEEE Transactions on Sustainable Computing, and Journal of Network and Computer Applications (Elsevier). She is an IEEE Fellow.

Resilient Virtualized Edge Computing

Abstract: We discuss challenges and opportunities of distributed data management solutions ranging from the mobile edge to the data centers. Modern 5G networks promise to provide all means for communication in this domain, particularly when integrating mobile edge computing. However, it turns out that despite the many advantages, it is unlikely that such services will be provided with sufficient coverage. As a novel concept, we proposed virtualized edge computing (V-Edge) that bridges this gap. We present a learning-based approach to make such an V-Edge resilient to network dynamics and system failures.

Professor Falko Dressler, IEEE Fellow Chair for Telecommunication Networks School of Electrical Engineering and Computer Science TU Berlin URL: https://www.tkn.tu-berlin.de/~dressler/

Brief Bio: Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler is associate editor-in-chief for IEEE Trans. on Mobile Computing and Elsevier Computer Communications. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member. He is a member of the German National Academy of Science and Engineering.

Semantic Text Classification for 6G and Beyond

Abstract: Next generation wireless connectivity (6G) is on track to be realized in a decade. A distinguishing feature of 6G is realizing human-machine interaction at the edge. Semantic communications arises as a key enabler of this goal. Semantic communications aims to convey the meanings of messages between network nodes, and as such is a departure from conventional communications that requires conveying the messages themselves reliably. Such flexibility has the potential for significant resource savings while simultaneously bringing machine to machine communication close to natural communication. In this talk, we will review the origins of this direction, and present our recent findings on semantic text classification that provide orders of magnitude resource savings in communication and training costs.

Professor Aylin Yener, IEEE Fellow Board of Directors-elect (Director-elect Division IX), IEEE Roy and Lois Chope Chair in Engineering Professor of Electrical and Computer Engineering Professor of Integrated Systems Engineering Professor of Computer Science and Engineering Affiliated Faculty, Sustainability and Translational Data Analytics Institutes The Ohio State University 720 Dreese Labs, 2015 Neil Ave, Columbus, OH 43210 https://u.osu.edu/inspire/

Brief Bio: Aylin Yener is the Roy and Lois Chope Chair Professor at The Ohio State University at the Departments of Electrical and Computer Engineering, Computer Science and Engineering, and Integrated Systems Engineering. Her expertise is in wireless communications, information theory and learning, with interests in semantic communications, edge learning/computing, information security, energy conscious communications. She received the 2020 IEEE Communication Theory Technical Achievement Award, 2019 IEEE Communications Society Best Tutorial Paper Award, 2018 IEEE Women in Communications Engineering (WICE) Outstanding Achievement Award, 2014 IEEE Marconi Paper Award, and several other research and technical awards. She is a fellow of the IEEE.

Hosts

Dr. Arijit Roy Assistant Professor Department of Computer Science and Engineering Indian Institute of Technology Patna, India Website: https://arijit-iitkgp.github.io

Dr. Ayan Mondal Assistant Professor Department of Computer Science and Engineering Indian Institute of Technology Indore Khandwa Road, Simrol, Indore 453552, India Website: https://www.iiti.ac.in/people/~ayanm/

Prrofessor Sudip Misra, PhD, FIEEE, FNAE, FNASc, FIET, FBCS, FRSPH, FIETE ACM Distinguished Member Alexander von Humboldt Fellow (Germany) IEEE Communications Society Distinguished Lecturer Professor & INAE Abdul Kalam Technology Innovation National Fellow Department of Computer Science & Engineering Indian Institute of Technology Kharagpur-721302 West Bengal, India Official Website: https://cse.iitkgp.ac.in/~smisra/ SWAN Group: https://cse.iitkgp.ac.in/~smisra/swan/