报告题目: Intelligent Edge Computing
报告华体会网页版登陆入口：2020年11月11日上午9点至11:30
报告地点：腾讯会议 会议ID: 661 547 489
摘要:
With the advances of hardware, software, algorithms and applications, there is a new computing paradigm shift from centralized intelligence in the cloud to distributed intelligence on the edge. It is critical to infuse AI to empower diverse edge devices and applications. This talk introduces our research work on intelligent edge computing, including how to build affordable AI models customized for diverse edge devices, how to optimize system performance of model inference on heterogeneous hardware, how to ensure security and privacy of user data and AI models, and how to enable continuous and collaborative learning across distributed devices.
个人简介:
Dr. Yunxin Liu is a Principal Researcher and the manager of Heterogeneous and Extreme Computing Group at Microsoft Research Asia (MSRA). His research interests are mobile and edge systems, focusing on system optimizations, power management, security and privacy, sensing, and recently, intelligent edge computing. His research work has been published in top conferences and journals such as MobiSys, MobiCom, SenSys, NSDI, CCS, ToN and TMC; transferred into multiple Microsoft products including Visual Studio, XBOX XDK, and Windows Phone; and featured in news media including ABC News, The Register, NetworkWorld and many others. He served as a TPC member of a set of conferences such as MobiSys, MobiCom, WWW and INFOCOM. He is an Associate Editor of IEEE Transactions on Mobile Computing, a general co-chair of Mobihoc 2021, and an adjunct professor (guest Ph.D. advisor) of University of Science and Technology of China. He received MobiCom 2015 Best Demo Award, PhoneSense 2011 Best Paper Award, and SenSys 2018 Best Paper Runner-up Award.
