most citedA general approach to distributed operator splitting

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC2026

Relocated Fixed-Point Iterations with Applications to Variable Stepsize Resolvent Splitting

Felipe Atenas, Heinz H. Bauschke, Minh N. Dao +1

In this work, we develop a convergence framework for iterative algorithms whose updates can be described by a one-parameter family of nonexpansive operators. Within the framework,…

math.OC2026

Primal-dual splitting for structured composite monotone inclusions with or without cocoercivity

Minh N. Dao, Hung M. Phan, Matthew K. Tam +1

In this paper, we propose a primal-dual splitting algorithm for a broad class of structured composite monotone inclusions that involve finitely many set-valued operators, compositi…

math.OC20261 cited

A general approach to distributed operator splitting

Minh N. Dao, Matthew K. Tam, Thang D. Truong

Splitting methods have emerged as powerful tools to address complex problems by decomposing them into smaller solvable components. In this work, we develop a general approach to fo…

math.OC2026

Variable Stepsize Distributed Forward-Backward Splitting Methods as Relocated Fixed-Point Iterations

Felipe Atenas, Minh N. Dao, Matthew K. Tam

We present a family of distributed forward-backward methods with variable stepsizes to find a solution of structured monotone inclusion problems. The framework is constructed by me…

math.OC2025

A distributed proximal splitting method with linesearch for locally Lipschitz gradients

Felipe Atenas, Minh N. Dao, Matthew K. Tam

In this paper, we propose a distributed first-order algorithm with backtracking linesearch for solving multi-agent minimisation problems, where each agent handles a local objective…