The performance of modern wireless communications systems depends critic...
We consider the problem of gridless blind deconvolution and demixing (GB...
Unmanned aerial vehicle (UAV)-assisted communication is becoming a
strea...
Over-the-air computation (AirComp) is a known technique in which wireles...
Federated learning (FL) has emerged as an instance of distributed machin...
Facing the upcoming era of Internet-of-Things and connected intelligence...
Federated Learning (FL) plays a prominent role in solving machine learni...
Federated Edge Learning (FEEL) is a distributed machine learning techniq...
This paper investigates efficient distributed training of a Federated
Le...
Motivated by increasing computational capabilities of wireless devices, ...
In closed-loop wireless control systems, the state-of-the-art approach
p...
In the Internet of Things, learning is one of most prominent tasks. In t...
In the resource management of wireless networks, Federated Learning has ...
Although in cellular networks full-duplex and dynamic time-division dupl...
As data generation increasingly takes place on devices without a wired
c...
In the aeronautics industry, wireless avionics intra-communications have...
An important task in the Internet of Things (IoT) is field monitoring, w...
Inter-operator spectrum sharing in millimeter-wave bands has the potenti...
Wirelessly-powered sensor networks (WPSNs) are becoming increasingly
imp...
We address the new problem of estimating a piece-wise constant signal wi...
Millimeter-wave (mmWave) communications rely on directional transmission...
While the current generation of mobile and fixed communication networks ...
We summarize our recent findings, where we proposed a framework for lear...
The lack of mathematical tractability of Deep Neural Networks (DNNs) has...
In this paper, we present some contributions from our recent investigati...
Millimeter-wave (mmWave) networks rely on directional transmissions, in ...
To further improve the potential of full-duplex communications, networks...
In wireless communication networks, interference models are routinely us...