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Oct 25 2019

Machine Learning Meets Mobile Communications

ECE 595 Department Seminar Series

October 25, 2019

11:00 AM - 12:30 PM


Lecture Center D5


Chicago, IL 60607

Machine Learning Meets Mobile Communications

Presenter: H. Vincent Poor, Princeton University

Abstract: Mobile communications and machine learning are two of the most exciting and rapidly developing technological fields of our time. In recent times these two fields have begun to merge in two fundamental ways. First, while mobile communications has developed largely as a model-driven field, the complexities of many emerging communications scenarios is giving rise to the need to introduce data- driven methods into the design and analysis of mobile networks. And, conversely, many machine learning problems are by their nature distributed due to either physical limitations or privacy concerns; this distributed nature gives rise to the need to consider mobile networks as part of learning mechanisms, i.e., as platforms for machine learning. This talk will illuminate these two perspectives, while focusing primarily on the latter, by considering communication issues arising in distributed learning problems such as federated learning and collaborative learning.

Presenter bio: H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University. From 1977, and until joining the Princeton faculty in 1990, he was on the faculty of the University of Illinois. From 2006 to 2016, he served as dean of Princeton’s School of Engineering and Applied Science. He has also held visiting positions at several other universities, including most recently at Berkeley and Cambridge. Poor’s research interests are in the areas of signal processing and information theory, and their applications in wireless networks, energy systems and related fields. He is a member of the National Academy of Engineering and the National Academy of Sciences, and is a foreign member of the Chinese Academy of Sciences, the Royal Society, and other national and international academies. He received the IEEE Alexander Graham Bell Medal in 2017.

Faculty Host: Professor Hulya Seferoglu,


Department of Electrical and Computer Engineering

Date posted

Oct 8, 2019

Date updated

Oct 8, 2019