计算机学科前沿论坛之十六
报告题目：Blockchain-enabled Edge Intelligence for 6G IoT
报告人：Victor C.M. Leung, PhD, FRSC, FCAE, FEIC, LFIEEE
Distinguished Professor of Computer Science and Software Engineering，Shenzhen University，Shenzhen, China；Emeritus Professor of Electrical and Computer Engineering，The University of British Columbia，Vancouver, Canada；
报告时间：2023年12月8日上午9：00-10:00
报告地点：计算机学院A501
Abstract – In the emerging 6G network, massive deployment of Internet of Things (IoT) devices to support smart environments such as smart cities, smart factories, smart offices and smart homes is anticipated. To deal with the enormous amount of data that will be generated by these devices and provide support to various applications, many of which have stringent latency requirements, use of multi-access edge computing (MEC) with artificial intelligence (AI), so called edge intelligence becomes critical. In very large networks, edge nodes may belong to different entities. Blockchain, a distributed ledger technology (DLT), has become a powerful structure to share data in a verifiable manner among edge nodes without them sharing trust. We present an overview of blockchain-enabled edge intelligence, and outline several challenges that researchers strive to address in this paradigm. The long time-delay of legacy blockchain consensus mechanisms make it difficult to meet the stringent latency requirement of 6G IoT. The security of distributed machine learning may be compromised by cyber-attacks. Performance of AI in 6G IoT may be constrained by the heterogeneity of IoT data. To address some of these challenges, we present innovative solutions for blockchain-enabled edge intelligence to minimize latency in blockchain-based edge training, defend against attacks on IoT data, and improve prediction accuracy of AI models in the presence of heterogeneous IoT data.
Biography - VICTOR C.M. LEUNG is a Distinguished Professor of Computer Science and Software Engineering at Shenzhen University, China, and an Emeritus Professor of Electrical and Computer Engineering at the University of British Columbia, Canada. He has co-authored numerous refereed articles in the broad areas of wireless networks and mobile systems, and is a Clarivate Analytics “Highly Cited Researcher”. Dr. Leung is an editor of the IEEE TGCN, IEEE TCC, IEEE TCSS, IEEE Access, and several other journals. He received the 2017 IEEE ComSoc Fred W. Ellersick Prize, 2017 IEEE Systems Journal Best Paper Award, 2017 Canadian Award for Telecommunications Research, 2018 IEEE TCGCC Distinguished Technical Achievement Recognition Award, 2018 IEEE CSIM Best Journal Paper Award, and 2019 IEEE TCGCC Best Journal Paper Award, as well as several other awards. He is a Life Fellow of IEEE, and a Fellow of the Royal Society of Canada (Academy of Science), Canadian Academy of Engineering, and Engineering Institute of Canada.
