96 citations · 174 across the 32 of their papers we have counts for
7 papers · 2 filters
A Unified Framework for Continuous-time Unconstrained Distributed Optimization
Behrouz Touri, Bahman Gharesifard
We introduce a class of distributed nonlinear control systems, termed as the flow-tracker dynamics, which capture phenomena where the average state is controlled by the average con…
Almost Sure Convergence of Distributed Optimization with Imperfect Information Sharing
Hadi Reisizadeh, Anand Gokhale, Behrouz Touri +1
To design algorithms that reduce communication cost or meet rate constraints and are robust to communication noise, we study convex distributed optimization problems where a set of…
A Random Adaptation Perspective on Distributed Averaging
Rohit Parasnis, Ashwin Verma, Massimo Franceschetti +1
We propose a random adaptation variant of time-varying distributed averaging dynamics in discrete time. We show that this leads to novel interpretations of fundamental concepts in…
Maximal Dissent: a State-Dependent Way to Agree in Distributed Convex Optimization
Ashwin Verma, Marcos M. Vasconcelos, Urbashi Mitra +1
Consider a set of agents collaboratively solving a distributed convex optimization problem, asynchronously, under stringent communication constraints. In such situations, when an a…
DIMIX: DIminishing MIXing for Sloppy Agents
Hadi Reisizadeh, Behrouz Touri, Soheil Mohajer
We study non-convex distributed optimization problems where a set of agents collaboratively solve a separable optimization problem that is distributed over a time-varying network.…
A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains
Rohit Parasnis, Massimo Franceschetti, Behrouz Touri
We derive a generalization of the Perron-Frobenius theorem to time-varying row-stochastic matrices as follows: using Kolmogorov's concept of absolute probability sequences, which a…
Usefulness of the Age-Structured SIR Dynamics in Modelling COVID-19
Rohit Parasnis, Ryosuke Kato, Amol Sakhale +2
We examine the age-structured SIR model, a variant of the classical Susceptible-Infected-Recovered (SIR) model of epidemic propagation, in the context of COVID-19. In doing so, we…