EE Colloquium: Data Reduction for Communication-efficient Machine Learning

Ting He of Penn State will be the speaker.

Abstract:

The rapid growth of smart phones and Internet of Things (IoT) devices leads to a huge amount of data generated at the edge of communication networks. While machine learning has provided powerful tools to exploit the information in such big data, these tools tend to be resource-intensive, making them unsuitable for the edge devices. Meanwhile, due to bandwidth and other constraints, it is also often infeasible to transfer all the data to servers that have the required computation resources. In this talk, how to address this challenge through various data reduction techniques will be discussed, with a focus on the construction of smaller weighted datasets, known as coresets, that can be used as proxies of the full dataset. This work has won the Military Impact and the Commercial Prosperity Awards from the International Technology Alliance in Distributed Analytics and Information Sciences.

Speaker Bio:

Ting He is an associate professor in the Department of Computer Science and Engineering at the Pennsylvania State University. Her interests include computer networking, performance evaluation, statistical inference and machine learning. She has served as an associate editor for IEEE Transactions on Communications and IEEE/ACM Transactions on Networking, a TPC Co-Chair of IEEE ICCCN, an Area TPC Chair of IEEE INFOCOM and a TPC member of many international conferences in the areas of networking and distributed computing. Her work has been recognized by many awards, including the Research Division Award and multiple Outstanding Contributor Awards from IBM, the Military Impact, the Commercial Prosperity, the Most Collaboratively Complete Publications Awards from ITA, the 2021 IEEE Communications Society Leonard G. Abraham Prize, the Best Paper Award at the 2013 ICDCS, the Outstanding Student Paper Award at the 2015 SIGMETRICS, the Best Student Paper Award at the 2005 ICASSP and multiple best paper finalists. She is an active contributor in N2Women and was listed in “N2Women: Rising Stars in Networking and Communications” in 2017.