Mohammadreza Doostmohammadian

Low-Bit Distributed Constrained Optimization with Application to Optimal Scheduling and Allocation

Mohammadreza Doostmohammadian, Sergio Pequito

This paper proposes a distributed resource allocation algorithm in which each agent communicates only the sign of its local cost gradient, a single bit per directed link per iterat…

Adding Heavy-Ball Momentum to Distributed Constrained Optimization for Energy Resource Management Subject to Time-Delays and Quantization

Mohammadreza Doostmohammadian, Sergio Pequito

This paper studies a hybrid discrete-time signed gradient-consensus method with heavy-ball momentum, paired communication delays, and fixed logarithmic quantization. The method pre…

Distributed Algorithms for Filtering, Estimation, and Fault Detection over Cyber-Physical-Systems: A Tutorial and Survey

Mohammadreza Doostmohammadian, Mahdi Shamsi, Hadi Zayyani +4

This survey provides overview of distributed estimation, filtering, and fault detection techniques in the context of cyber-physical systems (CPS). To establish a strong foundation,…

Resilient Monitoring of Social Dynamical Systems through Collaborative Multi-Agent Networks under Latency

Mohammadreza Doostmohammadian, Sergio Pequito

Social dynamical networks significantly influence contemporary digital landscapes, affecting realms from social activism to public policy formulation. This paper investigates the u…

Resilient Consensus-Based Target Tracking under False Data Injection Attacks in Multi-Agent Networks

Amir Ahmad Ghods, Mohammadreza Doostmohammadian

Distributed target tracking in multi-agent networks plays a critical role in cooperative sensing and autonomous navigation. However, it faces significant challenges in highly dynam…

Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2

In recent years, the prevalence of large-scale data-sets and the demand for sophisti-cated learning models have necessitated the development of efficient distributed ma-chine learn…

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Decentralized strategies are of interest for local decision-making over multi-vehicle networks. This paper studies mixed traffic networks of human-driven and autonomous vehicles wi…

Impact of Clustering on the Observability and Controllability of Complex Networks

Mohammadreza Doostmohammadian, Hamid R. Rabiee

The increasing complexity and interconnectedness of systems across various fields have led to a growing interest in studying complex networks, particularly Scale-Free (SF) networks…

Distributed Allocation and Resource Scheduling Algorithms Resilient to Link Failure

Mohammadreza Doostmohammadian, Sergio Pequito

Distributed resource allocation (DRA) is fundamental to modern networked systems, spanning applications from economic dispatch in smart grids to CPU scheduling in data centers. Con…

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization

Mohammadreza Doostmohammadian, Narahari Kasagatta Ramesh, Alireza Aghasi

Distributed optimization finds applications in large-scale machine learning, data processing and classification over multi-agent networks. In real-world scenarios, the communicatio…

Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity

Mohammadreza Doostmohammadian, Hamid R. Rabiee

This paper considers automatic generation control over an information-sharing network of communicating generators as a multi-agent system. The optimization solution is distributed…

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Distributed optimization advances centralized machine learning methods by enabling parallel and decentralized learning processes over a network of computing nodes. This work provid…

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach

Mohammadreza Doostmohammadian, Mohammad Pirani

Distributed estimation in interconnected systems has gained increasing attention due to its relevance in diverse applications such as sensor networks, autonomous vehicles, and clou…

Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks

Evagoras Makridis, Gabriele Oliva, Kasagatta Ramesh Narahari +3

In this paper, we address the distributed optimization problem over unidirectional networks with possibly time-invariant heterogeneous bounded transmission delays. In particular, w…

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency

Mohammadreza Doostmohammadian, Zulfiya R. Gabidullina, Hamid R. Rabiee

This paper proposes an accelerated consensus-based distributed iterative algorithm for resource allocation and scheduling. The proposed gradient-tracking algorithm introduces an au…

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Intelligent transportation systems (ITS) aim to advance innovative strategies relating to different modes of transport, traffic management, and autonomous vehicles. This paper stud…

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization

Mohammadreza Doostmohammadian, Alireza Aghasi, Hamid R. Rabiee

Intelligent transportation systems have recently emerged to address the growing interest for safer, more efficient, and sustainable transportation solutions. In this direction, thi…

Distributed Target Tracking based on Localization with Linear Time-Difference-of-Arrival Measurements: A Delay-Tolerant Networked Estimation Approach

Mohammadreza Doostmohammadian, Themistoklis Charalambous

This paper considers target tracking based on a beacon signal's time-difference-of-arrival (TDOA) to a group of cooperating sensors. The sensors receive a reflected signal from the…

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks

Mohammadreza Doostmohammadian, Sérgio Pequito

Distributed optimization finds many applications in machine learning, signal processing, and control systems. In these real-world applications, the constraints of communication net…

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks

Mohammadreza Doostmohammadian, Zulfiya R. Gabidullina, Hamid R. Rabiee

Decentralized optimization strategies are helpful for various applications, from networked estimation to distributed machine learning. This paper studies finite-sum minimization pr…

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data

Mohammadreza Doostmohammadian, Muhammad I. Qureshi, Mohammad Hossein Khalesi +2

Decentralized strategies are of interest for learning from large-scale data over networks. This paper studies learning over a network of geographically distributed nodes/agents sub…