Distributed Convex Thresholding
Ran Wolff · 2015
Over the last fifteen years, a large group of algorithms emerged which compute various predicates from distributed data with a focus on communication efficiency. These algorithms are often called "communication-efficient", "geometric-monitoring", or "local" algorithms. We jointly call them distributed convex thresholding algorithms, for reasons which will be explained in this work. Distributed convex thresholding algorithms have found their applications in domains in which bandwidth is a scarce resource, such as wireless sensor networks and peer-to-peer systems, or in scenarios in which data rapidly streams to the different processors but outcome of the predicate rarely changes. Common to all of these algorithms is the use of a data dependent criteria to determine when further messaging is required.