6 papers
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,…
Steering Fractional-Order Network Dynamics via Joint Parameter and State Control
Alessandro Varalda, Sergio Pequito
This paper studies the control of discrete-time linear fractional-order networks, a flexible modeling framework for systems with long-range memory such as power grids, biological n…
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…
Fractional Order Distributed Optimization
Andrei Lixandru, Marcel van Gerven, Sergio Pequito
Distributed optimization is fundamental to modern machine learning applications like federated learning, but existing methods often struggle with ill-conditioned problems and face…