9 citations · 11 across the 3 of their papers we have counts for
4 papers
Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach
Alexander Davydov, Veronica Centorrino, Anand Gokhale +2
In this article, we provide a novel and broadly-applicable contraction-theoretic approach to continuous-time time-varying convex optimization. For any parameter-dependent contracti…
Euclidean Contractivity of Neural Networks with Symmetric Weights
Veronica Centorrino, Anand Gokhale, Alexander Davydov +2
This paper investigates stability conditions of continuous-time Hopfield and firing-rate neural networks by leveraging contraction theory. First, we present a number of useful gene…
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…
Distributed Online Optimization with Byzantine Adversarial Agents
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
We study the problem of non-constrained, discrete-time, online distributed optimization in a multi-agent system where some of the agents do not follow the prescribed update rule ei…