报告题目：Intelligent Connectivity for XR-aided Teleoperation and Distributed Learning in 6G
报告时间：2023年5月11日 15:00- 16:00
报告地点：中南大学校本部计算机楼313
报告摘要：Extended Reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, rich-information and complex scenarios. The multisensory XR devices and robots introduce several new types of traffic with unique quality-of-service (QoS) requirements, which are expected to be addressed through 6G cellular connectivity. In this talk, I will first introduce our vision and testbed for the XR-aided teleoperation system under cellular connectivity. I will then present several novel machine-learning solutions designed for cellular-connected virtual reality/unmanned-aerial vehicle networks to guarantee these performance requirements. I will further introduce our works on wireless distributed learning for wider 6G applications, specifically time-triggered federated learning and hybrid split and federated learning. Lastly, I will introduce one future research direction on task/goal-oriented semantics-aware communications in 6G.
讲座者简介：
Dr. Yansha Deng is currently a Senior Lecturer (Associate Professor) in the Department of Engineering at King’s College London, London, United Kingdom. She received her Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K., in 2015. From 2015 to 2017, she was a Post-Doctoral Research Fellow with King’s College London, U.K. She has secured more than £2.3 million of research funding as the PI and has received the EPSRC NIA award. She has published 100+ journal papers and 50+ IEEE/ACM conference papers. Her research interests include molecular communication and machine learning for 5G/6G wireless networks. She was a recipient of the Best Paper Awards from ICC 2016 and GLOBECOM 2017 as the first author, and the IEEE Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region 2021.
She is currently the Senior Editor of IEEE Communications Letters since 2020, the Associate Editor of IEEE Transactions on Communications since 2017, the Associate Editor of IEEE Communications Surveys and Tutorials since 2022, the Associate Editor of IEEE Transactions on Machine Learning in Communications and Networking since 2022, the Associate Editor of IEEE Transactions on Molecular, Biological and Multi-scale Communications since 2019, the Associate Editor of IEEE Open Journal of Communications Society since 2019 and the Vertical Area Editor of IEEE Internet of Things Magazine since 2021.
