Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

IoT systems typically involve separate data collection and processing, and face the
scalability issue when the number of nodes increases. For some tasks, only the result of data …

The emerging concept of Over-the-Air (OtA) computation has shown great potential for
achieving resource-efficient data aggregation across large wireless networks. However …

In typical sensor networks, data collection and processing are separated. A sink collects
data from all nodes sequentially, which is very time consuming. Over-the-air computation, as …

We consider over-the-air convex optimization on a dimensional space where coded
gradients are sent over an additive Gaussian noise channel with variance. The codewords …

Over-the-air computation (AirComp), as an effective method to wireless data aggregation,
has attracted much attention recently. It helps to improve network efficiency and scalability …

We consider the processing of statistical samples X∼P_θ by a channel p(y|x), and
characterize how the statistical information from the samples for estimating the parameter …

In a general wireless sensor network, a sink node collects data from each node successively
and then post-processes the data to obtain useful information. However, conventional …

Over-the-air computation is a communication-efficient solution for federated learning (FL). In
such a system, iterative procedure is performed: Local gradient of private loss function is …

We study lower bounds for minimax statistical estimation over a Gaussian multiple-access
channel (MAC) under squared error loss, using techniques from both statistical estimation …