134 citations · 553 across the 48 of their papers we have counts for
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Fast Distributed Gradient Methods
Dusan Jakovetic, Joao Xavier, Jose M. F. Moura
We study distributed optimization problems when nodes minimize the sum of their individual costs subject to a common vector variable. The costs are convex, have Lipschitz conti…
Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations
Dragana Bajovic, Dusan Jakovetic, Jose M. F. Moura +2
We establish the large deviations asymptotic performance (error exponent) of consensus+innovations distributed detection over random networks with generic (non-Gaussian) sensor obs…
Distributed Detection over Noisy Networks: Large Deviations Analysis
Dusan Jakovetic, Jose M. F. Moura, Joao Xavier
We study the large deviations performance of consensus+innovations distributed detection over noisy networks, where sensors at a time step k cooperate with immediate neighbors (con…