报告题目：Distributed Optimization over Networks: From Algorithms to Applications

报 告 人：朱善迎副教授   上海交通大学

报告时间：10月26日（周六）下午3:30-5:30

报告地点：学院21幢3楼第三会议室

摘要：Distributed optimization has received much attention recently due to its wide applications in sensor fusion, resource allocation and machine learning.  Common features of these examples are that there is no centralized center involved and the resources, such as sensing, communication and computation, are usually scattered throughout the network, which basically necessitate completely distributed algorithms that are preferably robust to the change of network topology. In this talk, I will introduce two new distributed methods that can achieve faster convergence rates but are still guaranteed to converge to the exact optimum. In addition, the connection between these two algorithms is established from the general primal-dual perspective which, indeed, provides a unified framework for distributed algorithms and a new paradigm for the corresponding convergence analysis. Applications to distributed economic dispatch of power systems will also be discussed in this talk.

欢迎有兴趣的老师和同学来参加！

邀请人：林飞龙