Abstract The Internet of things (IoT) is a fast evolving technology that enables the
development of smart services in numerous domains, such as transportation, health care …

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data
aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition …

Message exchange among vehicles plays an important role in ensuring road safety.
Emergency message dissemination is usually carried out by broadcasting. However, high …

Programmable wireless environments (PWEs) utilize internetworked intelligent
metasurfaces to transform wireless propagation into a software-controlled resource. In this …

The advances and convergence in sensor, information processing, and communication
technologies have shaped the Internet of Things of today. The rapid increase of data and …

Federated learning (FL), as an emerging edge artificial intelligence paradigm, enables many
edge devices to collaboratively train a global model without sharing their private data. To …

The ultimate goal of Internet of Things (IoT) technology is to evolve into the Internet of
Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the …

Future wireless communication networks are expected to fulfill the unprecedented
performance requirements to support our highly digitized and globally data-driven society …

Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …

Federated learning is a new paradigm to support resource-intensive and privacy-aware
learning applications. It enables the Internet-of-Things (IoT) devices to collaboratively train a …