Sketches and Their Applications for Synchronization, Blockchain Networks and Learning

Abstract

Hash-based data structures such as Bloom filters are widely used in network systems for a wide range of tasks. In this talk, I will overview several recent designs that expand and enhance their utility across multiple domains such as data synchronization among peers, blockchain networks and machine learning pipelines. The talk is based on recent papers from Sigmetrics, TNSM, AFT and APNET.

Bio

Ori Rottenstreich is an Associate Professor with a joint appointment in the ECE and CS departments at the Technion—Israel Institute of Technology. His research focuses on network algorithms and blockchain architectures. He previously served as a postdoctoral researcher at Princeton University.