We propose a primal-dual algorithm based on Asymmetric Forward-Backward-Adjoint (AFBA), a new operator splitting technique introduced recently by two of the ...
Abstract— We consider a network of agents, each with its own private cost consisting of the sum of two possibly nonsmooth convex functions, one of which is ...
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Jun 9, 2017 · Abstract:This paper proposes TriPD, a new primal-dual algorithm for minimizing the sum of a Lipschitz-differentiable convex function and two ...
PDF | This paper proposes TriPD, a new primal-dual algorithm for minimizing the sum of a Lipschitz-differentiable convex function and two possibly.
Jun 13, 2023 · This article develops a novel distributed primal-dua l proximal algorithm (PDPA-Dist) and its corresponding randomized version ...
Abstract—This paper proposes TriPD, a new primal-dual algo- rithm for minimizing the sum of a Lipschitz-differentiable convex.
For example in [32] , the authors develop a new primal-dual algorithm that uses the Laplacian of the communication graph as a set of linear constraints to ...
This paper proposes Triangularly Preconditioned Primal- Dual algorithm, a new primal-dual algorithm for minimizing the sum of a Lipschitz-differentiable ...
Abstract. In this paper we consider nonconvex optimiza- tion and learning over a network of distributed nodes. We develop a Proximal Primal-Dual Al-.
A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization. P Latafat, NM Freris, P Patrinos. IEEE Transactions on Automatic ...