Title: Information-theoretic Caching
Abstract: Caching is a promising technique for dealing with increasing demands on communication networks. In this talk, we present an information-theoretic perspective on (optimally coded) caching. We discuss the resulting architectural insights concerning optimal caching strategies, and outline several open problems.
Bio: Michael Gastpar is a Professor at EPFL and has held tenured professor positions at the University of California, Berkeley, and at TU Delft. He received his Dipl. El.-Ing. degree from ETH Zurich, his MS from the University of Illinois at Urbana-Champaign, and his Dr. es sc. from EPFL. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. Amongst other awards, he received the IEEE Communications Society and Information Theory Society Joint Paper Award in 2013.
Last updated: 20.1.2016