In this article, we propose a spatial sampling approach to reduce energy consumption for
over-the-air (function) computation (AirComp) scheme by utilizing the cross-correlations …

In this study, a digital over-the-air computation (OAC) scheme for achieving continuous-
valued gradient aggregation is proposed. It is shown that the average of a set of real-valued …

6G mobile networks aim to realize ubiquitous intelligence at the network edge via distributed
learning, sensing, and data analytics. Their common operation is to aggregate high …

Over-the-air computation (AirComp) has emerged as a promising technique in future
intelligent wireless networks, which enables swift functional computation among distributed …

Due to its high communication efficiency, over-the-air computation (AirComp) has been
expected to carry out various computing tasks in the next-generation wireless networks …

Over-the-air computation (AirComp) is an efficient solution to enable federated learning on
wireless channels. Air-Comp assumes that the wireless channels from different devices can …

Over-the-air computation (AirComp) has recently been recognized as a promising scheme
for a fusion center to achieve fast distributed data aggregation in wireless networks via …

We study a distributed machine learning problem carried out by an edge server and multiple
agents in a wireless network. The objective is to minimize a global function that is a sum of …

One basic operation of Internet-of-Things (IoT) networks is to acquire a function of distributed
data collected from sensors over wireless channels, called wireless data aggregation …

A novel over-the-air computation (AirComp) framework, empowered by the incorporation of
movable antennas (MAs), is proposed to significantly enhance computation accuracy. Within …