77 citations · 329 across the 57 of their papers we have counts for
8 papers · 1 filter
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…