ECE Seminar - Theories and Applications of Distributed Optimization in Networks
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Distributed optimization is solved by the mutual collaboration among a group of agents, which arises in various domains such as machine learning, resource allocation, location in sensor networks and so on. In this talk, we introduce two kinds of distributed optimization problems: (i) the agents share a common decision variable and local constraints; (ii) the agents have their individual decision variables but that are coupled by global constraints. This talk comprehensively introduce the origin of distributed optimization, classical works as well as recent advances. In addition, based on reinforcement learning, shortest path planning, and mixed integer programming, we build the distributed optimization framework of distributed optimization, and also discuss their applications. Finally, we make a summary with future works for distributed optimization.
Wenwu Yu received the B.Sc. degree in information and computing science and M.Sc. degree in applied mathematics from the Department of Mathematics, Southeast University, Nanjing, China, in 2004 and 2007, respectively, and the Ph.D. degree from the Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China, in 2010. Currently, he is the Dean in the School of Mathematics. He is also a Full Professor with the Endowed Chair Honor in Southeast University, China. Professor Yu is also the Executive Deputy Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, the Vice Director of the Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education of China, the Head of the Information Mathematics Discipline in the Research Center for Mathematical and Physical Fundamentals, Purple Mountain Laboratories, the Executive Director of the Jiangsu National Center of Applied Mathematics in Southeast University, and the Huawei-Southeast University Networked Collective Intelligence Joint Innovation Lab.
Dr. Yu held several visiting positions in Australia, China, Germany, Italy, the Netherlands, and the USA. His research interests include multi-agent systems, complex networks and systems, disturbance control, distributed optimization, machine learning, game theory, cyberspace security, smart grids, intelligent transportation systems, big-data analysis, etc. Dr. Yu severs as an Editorial Board Member of several flag journals, including IEEE Transactions on Circuits and Systems II, IEEE Trans. Industrial Cyber-Physical Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Science China Information Sciences, Science China Technological Sciences, etc. He is also the Editor-in-Chief of Complex Engineering Systems.
He was listed by Clarivate Analytics/Thomson Reuters Highly Cited Researchers in Engineering in 2014-2024. He publishes about 100 IEEE Transactions journal papers with more than 20,000 citations. Moreover, Dr. Yu is also the recipient of the Second Prize of State Natural Science Award of China in 2016. He is also the Cheung Kong Scholars Programmer of Ministry of Education of China (Artificial Intelligence).