activity
20182022
most citedHigh-Resolution Modeling of the Fastest First-Order Optimization Method for Strongly Convex Functions

5 citations · 12 across the 8 of their papers we have counts for

collaborators

15 papers

math.OC2022

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…

math.OC20212 cited

Distributed Strategy Selection: A Submodular Set Function Maximization Approach

Navid Rezazadeh, Solmaz S. Kia

Constrained submodular set function maximization problems often appear in multi-agent decision-making problems with a discrete feasible set. A prominent example is the problem of m…

math.OC2021

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…

cs.MA2020

Deterministic Privacy Preservation in Static Average Consensus Problem

Amir-Salar Esteki, Solmaz S. Kia

In this paper we consider the problem of privacy preservation in the static average consensus problem. This problem normally is solved by proposing privacy preservation augmentatio…

math.OC2020

Multi-Agent Maximization of a Monotone Submodular Function via Maximum Consensus

Navid Rezazadeh, Solmaz S. Kia

Constrained submodular set function maximization problems often appear in multi-agent decision-making problems with a discrete feasible set. A prominent example is the problem of m…

eess.SY20202 cited

A distributed service-matching coverage via heterogeneous mobile agents

Yi-Fan Chung, Solmaz S. Kia

We propose a distributed deployment solution for a group of mobile agents that should provide a service for a dense set of targets. The agents are heterogeneous in a sense that the…