An intelligent reflecting surface (IRS) is a programmable device that can be used to control
electromagnetic waves propagation by changing the electric and magnetic properties of its …

Sixth generation (6G) internet of things (IoT) networks will modernize the applications and
satisfy user demands through implementing smart and automated systems. Intelligence …

The sixth-generation network (6G) is expected to achieve a fully connected world, which
makes full use of a large amount of sensitive data. Federated Learning (FL) is an emerging …

This study develops a federated learning (FL) framework overcoming largely incremental
communication costs due to model sizes in typical frameworks without compromising model …

Advances in artificial intelligence (AI) techniques have offered great opportunities for the
optimization of sustainable energy systems. AI techniques rely on the collection of big data …

We consider a federated learning framework in which a parameter server (PS) trains a
global model by using n clients without actually storing the client data centrally at a cloud …

Federated learning enables training a global model from data located at the client nodes,
without data sharing and moving client data to a centralized server. Performance of …

Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …

Next-generation wireless networks must handle a growing density of mobile users while
accommodating a rapid increase in mobile data traffic flow and a wide variety of services …

Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …