3 papers
eess.SY2025
On the Redundant Distributed Observability of Mixed Traffic Transportation Systems
M. Doostmohammadian, U. A. Khan, N. Meskin
In this paper, the problem of distributed state estimation of human-driven vehicles (HDVs) by connected autonomous vehicles (CAVs) is investigated in mixed traffic transportation s…
eess.SY2025
Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks
Evagoras Makridis, Gabriele Oliva, Kasagatta Ramesh Narahari +3
In this paper, we address the distributed optimization problem over unidirectional networks with possibly time-invariant heterogeneous bounded transmission delays. In particular, w…
eess.SY2025
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…