3 days ago · It runs multiple Stochastic Gradient Descent (MSGD) iterations on the primal variable as the inner loop, followed by a single (accelerated) Gradient Ascent (GA) ...

Jan 15, 2024 · A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization. P Latafat, NM Freris, P Patrinos. IEEE Transactions on Automatic ...

Dec 15, 2023 · This paper proposes TriPD, a new primal-dual algorithm for minimizing the sum of a Lipschitz-differentiable convex function and two possibly nonsmooth convex ...

Jun 22, 2024 · Abstract. A new stochastic primal-dual algorithm for solving a composite op- timization problem is proposed. It is assumed that all the functions.

Aug 13, 2023 · A first-order primal-dual algorithm for convex problems with applications to imaging. Journal of mathematical imaging and vision 40, 1 (2011), 120–145 ...

Oct 31, 2023 · Prox-PDA: The proximal primal-dual algorithm for fast distributed nonconvex optimization and learning over networks. In ICML, 2017. Roger A. Horn and ...

Dec 8, 2023 · In this article, we propose a primal-dual proximal-point formulation for constrained trajectory optimization and derive an efficient structure-exploiting ...

Sep 12, 2023 · In this paper we propose a novel Augmented Lagrangian Tracking distributed optimization algorithm for solving multi-agent optimization problems where each ...

Mar 20, 2024 · The proposed approach is based on distributed optimization algorithms, which can be interpreted as primal-dual Ordinary differential equation (ODE) dynamics ...

Jun 4, 2024 · Distributed Primal-Dual Proximal Algorithms for Convex Optimization Involving Three Composite Functions ... In this paper, we propose new accelerated methods ...