The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
In this paper, we explore how to effectively create and use "instant mesh networks", i.e., wireless mesh networks that are dynamically deployed in temporary circumstances...
Bo Xing, Mayur Deshpande, Sharad Mehrotra, Nalini ...
Abstract-- In this paper, we consider the distributed computation of equilibria arising in monotone stochastic Nash games over continuous strategy sets. Such games arise in setting...
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
—The popularity of location-based services and the need to do real-time processing on them has led to an interest in performing queries on transportation networks, such as findin...