5 papers
Fast model averaging via buffered states and first-order accelerated optimization algorithms
Amir-Salar Esteki, Hossein Moradian, Solmaz S. Kia
In this letter, we study the problem of accelerating reaching average consensus over connected graphs in a discrete-time communication setting. Literature has shown that consensus…
A Distributed Continuous-time Modified Newton-Raphson Algorithm
Hossein Moradian, Solmaz S. Kia
We propose a continuous-time second-order optimization algorithm for solving unconstrained convex optimization problems with bounded Hessian. We show that this alternative algorith…
A Study on Accelerating Average Consensus Algorithms Using Delayed Feedback
Hossein Moradian, Solmaz S. Kia
In this paper, we study accelerating a Laplacian-based dynamic average consensus algorithm by splitting the conventional delay-free disagreement feedback into weighted summation of…
Cluster-based Distributed Augmented Lagrangian Algorithm for a Class of Constrained Convex Optimization Problems
Hossein Moradian, Solmaz S. Kia
We propose a distributed solution for a constrained convex optimization problem over a network of clustered agents each consisted of a set of subagents. The communication range of…
On the Positive Effect of Delay on the Rate of Convergence of a Class of Linear Time-Delayed Systems
Hossein Moradian, Solmaz S. Kia
This paper is a comprehensive study of a long observed phenomenon of increase in the stability margin and so the rate of convergence of a class of linear systems due to time delay.…