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Jakovetic D., Moura J.M.F., Xavier J.

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
2013

pp 563

-
566

Abstract:

This paper presents explicit convergence rates for a class of deterministic distributed augmented Lagrangian methods. The expressions for the convergence rates show the dependence on the underlying network parameters. Simulations illustrate the analytical results.