Agenda

Signal Processing Seminar

• Thursday, 8 February 2018
• 13:00-15:00
• HB 17.150

An introduction to distributed signal processing

Due to the explosion in size and complexity of modern data sets, it is increasingly important to be able to solve problems with a very large number of features or training examples. In industry, this trend has been referred to as ‘Big Data’, and it has had a significant impact in areas as varied as artificial intelligence, internet applications, computational biology, medicine, finance, marketing, journalism, network analysis, weather forecast, telecommunication, and logistics. As a result, both the decentralized collection or storage of these data sets as well as accompanying distributed solution methods are either necessary or at least highly desirable. In this talk, we will give an introduction to the design of distributed algorithms. We will discuss the basic requirements of these algorithms, like being simple, resource efficient, scalable, robust against changes in network topology, asynchronous, etc. We will demonstrate the design of such algorithm by considering the example of distributed averaging in a sensor network.

Overview of Signal Processing Seminar