Distributed Algorithms for Principal Component Analysis


Department of Systems Engineering and Engineering Management

                     The Chinese University of Hong Kong



Title: "Distributed Algorithms for Principal Component Analysis"

Presented by Dr. Anna Scaglione

Date: 29 April 2019 (Monday)

Time: 11:00 a.m.-12:15 p.m.

Venue: LT, William M.W. Mong Engneering Building, CUHK


Many data analysis algorithm in array processing and machine learning rely on Principal Component Analysis (PCA) as basic primitive. Distributed PCA algorithms are useful when the data are acquired by a network of sensors, or when the data are split over several servers due to storage limitations. Such algorithms can harness local communications and network connectivity to overcome the need of communicating and accessing the entire array locally, but the way the different datasets are divided across the network informs the design of the distributed PCA and affects its performance limits. The talk will explain how one can decompose the problem of computing the principal components in general, by classifying the methodologies to perform distributed PCA on different datasets, and discussing their performance and their applications in the context of distributed data acquisition systems.

About the speaker:

Dr. Anna Scaglione (M.Sc.'95, Ph.D. '99) is currently a professor in electrical and computer engineering at Arizona State University. She was Professor of Electrical Engineering previously at the at UC Davis (2010-2014), Associate Professor at UCD 2008-2010 and at Cornell (2006-2008), and Assistant Professor at Cornell (2001-2006) and at the University of New Mexico (2000-2001).

  Dr. Scaglione’s expertise is in the broad area of statistical signal processing applied to information networks and intelligent infrastructures. Her current research focuses on studying and enabling decentralized learning and signal processing in networks of sensors.

  Dr. Scaglione was elected an IEEE fellow in 2011. She served as Associate Editor for the IEEE Transactions on Wireless Communications and on Signal Processing, as EiC of the IEEE Signal Processing letters and she is serving as Senior Area Editor for the IEEE Transactions of Control over Networked Systems. She was member of the Signal Processing Society Board of Governors from 2011 to 2014, and is one of the Distinguished Lecturers for the SPS society for 2019-2020. She received several awards for journal and conference publications: The 2000 IEEE Signal Processing Transactions Best Paper Award, the 2013, IEEE Donald G. Fink Prize Paper Award for the best review paper in that year in the IEEE publications, her work with her student earned 2013 IEEE Signal Processing Society Young Author Best Paper Award (Lin Li). She and her students received the Ellersick Best Paper Award (MILCOM 2005), and the student best paper awards at Smartgridcomm 2014 and ICASSP 2018. She is one of the IEEE Signal Processing Distinguished Lecturers for 2019-2020.

Co-hosted by

IEEE Signal Processing Society, Hong Kong Chapter

Monday, April 29, 2019 - 11:00 to 12:15