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In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In our method we define a smooth Lagrangian, by using a smoothing technique developed by Nesterov, which preserves separability of the problem. With this approach we propose a new decomposition method (the proximal center method)...
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