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 …

In this study, we propose an over-the-air computation (OAC) scheme to calculate the
majority vote (MV) for federated edge learning (FEEL). With the proposed approach, edge …

Over-the-air computation (AirComp) is a well-known technique by which several wireless
devices transmit by analog amplitude modulation to achieve a sum of their transmit signals …

Over-the-air computation (AirComp) is a known technique in which wireless devices transmit
values by analog amplitude modulation so that a function of these values is computed over …

In this study, we propose a general-purpose synchronization method that allows a set of
software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with …

We provide the optimal receive combining strategy for federated learning in multiple-input
multiple-output (MIMO) systems. Our proposed algorithm allows the clients to perform …

To further preserve model weight privacy and improve model performance in Federated
Learning (FL), FL via Over-the-Air Computation (AirComp) scheme based on dynamic power …

Over-the-air computation (AirComp) is a novel technology that utilizes the superposition
characteristic of the wireless multiple-access channel to accomplish communication and …

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 …