We study distributed optimization in a cooperative multi-agent setting, where agents have to
agree on the usage of shared resources and can communicate via a time-varying network to …

In this paper, we study rate-energy (RE) tradeoffs for simultaneous wireless information and
power transfer (SWIPT). In the existing literature, by invoking a simplistic and ideal …

We address the sensor network localization problem given noisy range measurements
between pairs of nodes. We approach the nonconvex maximum-likelihood formulation via a …

In many parts of the world, earthquakes threaten regional infrastructure systems. For
modeling risk using stochastic earthquake catalogs, random variables include rupture …

Several recently proposed architectures of neural networks such as ResNeXt, Inception,
Xception, SqueezeNet and Wide ResNet are based on the designing idea of having multiple …

The provision of self-cleaning velocities has been shown to reduce the risk of discolouration
in water distribution networks (WDNs). Despite these findings, control implementations …

The problem of maximizing a sum of sigmoidal functions over a convex constraint set arises
in many application areas. This objective captures the idea of decreasing marginal returns to …

We address the optimization of a large scale multi-agent system where each agent has
discrete and/or continuous decision variables that need to be set so as to optimize the sum …

The problem of adversarial examples has highlighted the need for a theory of regularisation
that is general enough to apply to exotic function classes, such as universal approximators …

The problem of bandwidth allocation in networks is traditionally solved using distributed rate
allocation algorithms under the general framework of network utility maximization (NUM) …