The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

The communication and networking field is hungry for machine learning decision-making
solutions to replace the traditional model-driven approaches that proved to be not rich …

Federated learning (FL) is a rapidly growing research field in machine learning. However,
existing FL libraries cannot adequately support diverse algorithmic development; …

To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

To enable the large scale and efficient deployment of Artificial Intelligence (AI), the
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …

Metaverse, also known as the Internet of 3-D worlds, has recently attracted much attention
from both academia and industry. Each virtual subworld, operated by a virtual service …

Disasters are crisis circumstances that put human life in jeopardy. During disasters, public
communication infrastructure is particularly damaged, obstructing Search And Rescue …

Federated Learning (FL) is a promising privacy-preserving distributed machine learning
paradigm. However, communication inefficiency remains the key bottleneck that impedes its …

Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …

Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …