Resumen
In distributed inference problems, the goal is to estimate the joint distribution of data observed by multiple sensors. In the most interesting settings, the marginal distributions at individual sensors are fixed across all hypotheses, so no single sensor can perform inference alone—the task relies critically on communication between sensors. I will present two two such communication-constrained problems.
Ponente
Dr. Yuval Kochman
Profesor Adjunto, Hebrew University of Jerusalem
Informes
eli@sigma.iimas.unam.mx