Cyber-physical systems (CPSs) are the next generation of engineered systems in which
computing, communication, and control technologies are tightly integrated. Research on …

Sensor networks potentially feature large numbers of nodes. The nodes can monitor and
sense their environment over time, communicate with each other over a wireless network …

The following network computing problem is considered. Source nodes in a directed acyclic
network generate independent messages and a single receiver node computes a target …

A lot of research is still being devoted to understanding the scope of the problem. But
solutions are already starting to emerge. In 2011, the United States' Intelligence Advanced …

The $ k $-sparse parity problem is a classical problem in computational complexity and
algorithmic theory, serving as a key benchmark for understanding computational classes. In …

We consider the problem of information aggregation in sensor networks, where one is
interested in computing a function of the sensor measurements. We allow for block …

A basic question in any computational model is how to reliably compute a given function
when the inputs or intermediate computations are subject to noise at a constant rate. Ideally …

It's an electrifying time to be in neuroscience. Using implanted devices that send pulses of
electricity through the nervous system, physicians are learning how to influence the neural …

The widely-studied radio network model [Chlamtac and Kutten, 1985] is a graph-based
description that captures the inherent impact of collisions in wireless communication. In this …

We derive information-theoretic converses (ie, lower bounds) for the minimum time required
by any algorithm for distributed function computation over a network of point-to-point …