77 citations · 329 across the 57 of their papers we have counts for
8 papers · 1 filter
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…
Decentralized Mobile Target Tracking Using Consensus-Based Estimation with Nearly-Constant-Velocity Modeling
Amir Ahmad Ghods, Mohammadreza Doostmohammadian
Mobile target tracking is crucial in various applications such as surveillance and autonomous navigation. This study presents a decentralized tracking framework utilizing a Consens…
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…
How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
Mohammadreza Doostmohammadian, Shahaboddin Kharazmi, Hamid R. Rabiee
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent transportation networks, and parallel proc…
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…
Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani +5
Resource allocation and scheduling in multi-agent systems present challenges due to complex interactions and decentralization. This survey paper provides a comprehensive analysis o…
Accelerated Distributed Allocation
Mohammadreza Doostmohammadian, Alireza Aghasi
Distributed allocation finds applications in many scenarios including CPU scheduling, distributed energy resource management, and networked coverage control. In this paper, we prop…