activity
20072023
most citedDistributing the Kalman Filter for Large-Scale Systems

486 citations · 2.3k across the 54 of their papers we have counts for

collaborators

56 papers

eess.SY2023

Consensus-based Networked Tracking in Presence of Heterogeneous Time-Delays

Mohammadreza Doostmohammadian, Mohammad Pirani, Usman A. Khan

We propose a distributed (single) target tracking scheme based on networked estimation and consensus algorithms over static sensor networks. The tracking part is based on linear ti…

eess.SY2022★ 1 cited

Distributed Constraint-Coupled Optimization over Lossy Networks

Mohammadreza Doostmohammadian, Usman A. Khan, Alireza Aghasi +1

This paper considers distributed resource allocation and sum-preserving constrained optimization over lossy networks, where the links are unreliable and subject to packet drops. We…

math.OC2022

Variance reduced stochastic optimization over directed graphs with row and column stochastic weights

Muhammad I. Qureshi, Ran Xin, Soummya Kar +1

This paper proposes AB-SAGA, a first-order distributed stochastic optimization method to minimize a finite-sum of smooth and strongly convex functions distributed over an arbitrary…

math.OC2022★ 1 cited

Distributed saddle point problems for strongly concave-convex functions

Muhammad I. Qureshi, Usman A. Khan

In this paper, we propose GT-GDA, a distributed optimization method to solve saddle point problems of the form: $\min_{\mathbf{x}} \max_{\mathbf{y}} \{F(\mathbf{x},\mathbf{y}) :=G(…

math.OC2021★ 6 cited

A Stochastic Proximal Gradient Framework for Decentralized Non-Convex Composite Optimization: Topology-Independent Sample Complexity and Communication Efficiency

Ran Xin, Subhro Das, Usman A. Khan +1

Decentralized optimization is a promising parallel computation paradigm for large-scale data analytics and machine learning problems defined over a network of nodes. This paper is…

eess.SY2021

Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks

Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee +2

This paper proposes a distributed attack detection and mitigation technique based on distributed estimation over a multi-agent network, where the agents take partial system measure…