Jiannong Cao
The Hong Kong Polytechnic University, Hong Kong
Collaborative Edge Computing for Ubiquitous AI
ABSTRACT
We envision the era of ubiquitous AI in the not-too-distant future, when AI will become commonplace as electricity. Edge computing provides a powerful way to rapidly analyze data and process tasks at the edge of the network, closer to the end-user. Edge AI extends edge computing to enable AI on edge devices to make instantaneous intelligent decisions. In this talk I will present a high performance and scalable edge AI infrastructure, collaborative edge AI (CEAI), where edge nodes share data and compute resources, collaboratively perform tasks and serve AI models to achieve distributed intelligence, making AI accessible everywhere. I will discuss about the challenging issues, including cross-node virtualization, distributed resource management, collaborative task scheduling, conflicting network flows, and distributed machine learning. I will highlight the proposed architecture, methods, and techniques to address the challenging issues and point out the future directions.
BIOGRAPHY
Dr. Cao is the Otto Poon Charitable Foundation Professor in Data Science, the Chair Professor of Distributed and Mobile Computing and the director of Internet and Mobile Computing Lab in the Department of Computing at The Hong Kong Polytechnic University. He served the department head from 2011 to 2017. Dr. Cao is also the Dean of Graduate School, and director of Research Institute for AIoT at Hong Kong Polytechnic University.
Dr. Cao’s research interests include edge computing and distributed systems, wireless sensing and networking, big data and AI. He published 6 co-authored and 9 co-edited books, and over 500 papers in major international journals and conference proceedings. He also obtained 13 patents. He received many awards for his outstanding research achievements. Dr. Cao served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014. He is a member of Academia Europaea, a fellow of HK Academy of Engineering, a fellow of IEEE, a fellow of CCF and a distinguished member of ACM.
Swarun Kumar
Carnegie Melon University, USA
Exploring New Frontiers for Pervasive Wireless
ABSTRACT
Wireless networking is a pervasive aspect of modern mobile computing systems. Indeed, it is common for wireless to simply be synonymous with a technology for communication. In this talk, I will argue two other aspects of wireless that are often ignored, yet have the potential to radically impact pervasive computing. First, advances in wireless sensing, which historically have been employed in large radar platforms, are now available in chip-sized platforms that readily integrate into smart devices. I’ll speak about my own research group’s efforts in exploring how these platforms open up entirely new applications in domains ranging from autonomous vehicles, and augmented reality to digital health. Next, an oft-ignored aspect of wireless is that at a fundamental level, it is simply a source of energy. Indeed, we experience this aspect of wireless in our own kitchens in the form of a microwave oven. I’ll describe our group’s efforts in rediscovering how microwave heating can benefit from advances in wireless communication and sensing, benefiting not only cooking but new domains ranging from robotics to healthcare.
BIOGRAPHY
Swarun Kumar is the Sathaye Family Foundation Professor at Carnegie Mellon University’s ECE department, with an affiliate appointment in the CS department, the HCI Institute and the Cylab Security and Privacy Institute. Swarun heads the laboratory for emerging wireless technologies (WiTech lab). He designs and builds novel systems to enable faster wireless networks and new services. His research has impacted a wide-range of domains ranging from low-power wide-area networking, wireless localization, RFID systems, mmWave sensing and satellite networking. Swarun’s research led to several best paper awards in conferences such as ACM SIGCOMM (2016), ACM UbiComp (2020 Best Wearables Paper) and ACM IPSN (2018, 2020, 2021 and 2022) as well as research highlights at the Communications of the ACM (2012, 2021), and GetMobile (2017, 2020, 2021, 2023). Swarun is a recipient of the 2024 ACM SIGMOBILE Rockstar award, the 2021 ACM SIGBED Early Career Researcher Award, the NSF CAREER award and the Google Faculty Research Award. Swarun received the George Sprowls Award for best Ph.D thesis in Computer Science at MIT in 2015 and the President of India gold medal at IIT Madras in 2010.