3 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…