134 citations · 553 across the 48 of their papers we have counts for
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Distributed Detection over Random Networks: Large Deviations Performance Analysis
Dragana Bajovic, Dusan Jakovetic, Joao Xavier +2
We study the large deviations performance, i.e., the exponential decay rate of the error probability, of distributed detection algorithms over random networks. At each time step $k…
Distributed Detection over Time Varying Networks: Large Deviations Analysis
Dragana Bajovic, Dusan Jakovetic, Joao Xavier +2
We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation type…
Distributed Detection over Random Networks: Large Deviations Analysis
Dragana Bajovic, Dusan Jakovetic, Joao Xavier +2
We show by large deviations theory that the performance of running consensus is asymptotically equivalent to the performance of the (asymptotically) optimal centralized detector. R…
Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication
Dusan Jakovetic, Joao Xavier, Jose M. F. Moura
We study distributed optimization in networked systems, where nodes cooperate to find the optimal quantity of common interest, x=x^\star. The objective function of the correspondin…