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- Dusan Jakovetic, João M. F. Xavier, José M. F. Moura
- IEEE Transactions on Automatic Control
- 2014

We study distributed optimization problems when N nodes minimize the sum of their individual costs subject to a common vector variable. The costs are convex, have Lipschitz continuous gradient (with… (More)

- Dusan Jakovetic, João M. F. Xavier, José M. F. Moura
- IEEE Transactions on Signal Processing
- 2010

We design the weights in consensus algorithms for spatially correlated random topologies. These arise with 1) networks with spatially correlated random link failures and 2) networks with randomized… (More)

- Dusan Jakovetic, João M. F. Xavier, José M. F. Moura
- IEEE Transactions on Signal Processing
- 2011

We study distributed optimization in networked systems, where nodes cooperate to find the optimal quantity of common interest, x = x*. The objective function of the corresponding optimization problem… (More)

- Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
- IEEE Transactions on Communications
- 2015

We introduce a framework to study slotted Aloha with cooperative base stations. Assuming a geographic-proximity communication model, we propose several decoding algorithms with different degrees of… (More)

- Dusan Jakovetic, José M. F. Moura, João M. F. Xavier
- IEEE Transactions on Signal Processing
- 2012

We study the large deviations performance of consensus+innovations distributed detection over noisy networks, where agents at a time step cooperate with their immediate neighbors (consensus) and… (More)

- Dusan Jakovetic, José M. F. Moura, João M. F. Xavier
- IEEE Transactions on Automatic Control
- 2015

We study distributed optimization where nodes cooperatively minimize the sum of their individual, locally known, convex costs fi(x)'s; x ϵ ℝd is global. Distributed augmented Lagrangian (AL) methods… (More)

- Dragana Bajovic, Dusan Jakovetic, João M. F. Xavier, Bruno Sinopoli, José M. F. Moura
- IEEE Transactions on Signal Processing
- 2011

We study, by large deviations analysis, the asymptotic performance of Gaussian running consensus distributed detection over random networks; in other words, we determine the exponential decay rate of… (More)

- Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
- IEEE Transactions on Signal Processing
- 2016

We consider distributed optimization where N nodes in a connected network minimize the sum of their local costs subject to a common constraint set. We propose a distributed projected gradient method… (More)

- Dusan Jakovetic, João M. F. Xavier, José M. F. Moura
- 2010 IEEE International Conference on Acoustics…
- 2010

We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iteration with certain… (More)

We study a standard distributed optimization framework where N networked nodes collaboratively minimize the sum of their local convex costs. The main body of existing work considers the described… (More)