2 citations · 2 across the 7 of their papers we have counts for
8 papers
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…
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…
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…
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…
Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling
Mohammadreza Doostmohammadian, Alireza Aghasi
Efficient resource allocation and scheduling algorithms are essential for various distributed applications, ranging from wireless networks and cloud computing platforms to autonomo…
Discretized Distributed Optimization over Dynamic Digraphs
Mohammadreza Doostmohammadian, Wei Jiang, Muwahida Liaquat +2
We consider a discrete-time model of continuous-time distributed optimization over dynamic directed-graphs (digraphs) with applications to distributed learning. Our optimization al…
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation
Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou +3
This paper proposes two nonlinear dynamics to solve constrained distributed optimization problem for resource allocation over a multi-agent network. In this setup, coupling constra…