报告人：严明（Assistant Professor, Michigan State University, USA)

时间：2018年12月5日

地点：恩明楼数学中心813

题目: Distributed consensus optimization algorithms over networks
摘要: Distributed consensus optimization over networks has many applications in the wireless sensor networks, resource allocations, and internet of things. In  this talk, I will introduce several consensus optimization algorithms: how to derive them; how to choose parameters; and their convergence results. Specifically, I will show the optimal range of the parameters for EXTRA; and I will introduce NIDS--the first algorithm that can have a large and network-independent stepsize.

报告人简介：

Ming Yan is an assistant professor in the Department of Computational Mathematics, Science and Engineering (CMSE) and the Department of Mathematics at Michigan State University. His research interests lie in computational optimization and its applications in image processing, machine learning, and other data-science problems. He received his B.S. and M.S in mathematics from University of Science and Technology of China in 2005 and 2008, respectively, and then Ph.D. in mathematics from University of California, Los Angeles in 2012. After completing his PhD, Ming Yan was a Postdoctoral Fellow in the Department of Computational and Applied Mathematics at Rice University from July 2012 to June 2013, and then moved to University of California, Los Angeles as a Postdoctoral Scholar and an Assistant Adjunct Professor from July 2013 to June 2015.