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July 23, 2018

Papailiopoulos coauthors a top-10 most-accessed paper in prestigious theoretical journal

Written By: Sam Million-Weaver

A paper coauthored by Electrical and Computer Engineering Assistant Professor Dimitris Papailiopoulos was among the top-10 most-accessed articles in the journal IEEE Transactions of Information Theory. The article, “Speeding up distributed machine learning using codes,” outlines theoretical strategies for avoiding system bottlenecks on computers running distributed learning algorithms by introducing redundancy into the computation. Papailiopoulos, who also is affiliated with the Grainger Institute for Engineering, collaborated on the manuscript with researchers from the University of California at Berkeley, the University of California at Santa Barbara, and the Korea Advanced Institute of Science and Technology.