Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …

Over the past few years, significant advancements have been made in the field of machine
learning (ML) to address resource management, interference management, autonomy, and …

We propose a federated version of adaptive gradient methods, particularly AdaGrad and
Adam, within the framework of over-the-air model training. This approach capitalizes on the …

Over-the-air computation (AirComp) is a promising technology converging communication
and computation over wireless networks, which can be particularly effective in model …

Over-the-air computation (OAC) can effectively support rapid data aggregation from a
plethora of devices, exploiting the inherent superposition property of wireless multiple …

In this work, we investigate federated edge learning over a fading multiple access channel.
To alleviate the communication burden between the edge devices and the access point, we …

Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …

Over-the-air computation (AirComp) leverages the signal-superposition characteristic of
wireless multiple access channels to perform mathematical computations. Initially introduced …