172 citations · 516 across the 28 of their papers we have counts for
3 papers · 2 filters
Primal-dual methods for large-scale and distributed convex optimization and data analytics
Dusan Jakovetic, Dragana Bajovic, Joao Xavier +1
The augmented Lagrangian method (ALM) is a classical optimization tool that solves a given "difficult" (constrained) problem via finding solutions of a sequence of "easier"(often u…
Resilient Distributed Recovery of Large Fields
Yuan Chen, Soummya Kar, José M. F. Moura
This paper studies the resilient distributed recovery of large fields under measurement attacks, by a team of agents, where each measures a small subset of the components of a larg…
Resilient Distributed Field Estimation
Yuan Chen, Soummya Kar, José M. F. Moura
We study resilient distributed field estimation under measurement attacks. A network of agents or devices measures a large, spatially distributed physical field parameter. An adver…