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 …

Aerial intelligent reconfigurable surface (IRS) is a promising technology to enhance channel
quality in data delivery. In this article, we study an aerial IRS deployment problem to enable …

Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …

In this study, we propose a non-coherent over-the-air computation scheme to calculate the
majority vote (MV) reliably in fading channels. The proposed approach relies on modulating …

This article investigates a multi-slot unmanned aerial vehicle (UAV) assisted over-the-air
computation (AirComp) system, where the UAV is deployed as a flying base station to …

Federated learning (FL), as an emerging distributed machine learning paradigm, allows a
mass of edge devices to collaboratively train a global model while preserving privacy. In this …

With the rapid advancements in edge computing and artificial intelligence, federated
learning (FL) has gained momentum as a promis⁃ ing approach to collaborative data …

This study introduces a novel non-coherent over-the-air computation (OAC) scheme aimed
at achieving reliable majority vote (MV) calculations in fading channels. The proposed …

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