Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

Reconfigurable intelligent surfaces (RISs) constitute the key enabler for programmable
electromagnetic propagation environments and are lately being considered as a candidate …

Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

The quest for trustworthiness in Artificial Intelligence (AI) is increasingly urgent, especially in
the field of next-generation wireless networks. Future Beyond 5G (B5G)/6G networks will …

Federated learning (FL) has emerged as a promising paradigm for collaborative model
training while preserving data privacy. Client selection plays a crucial role in determining the …

6G will connect heterogeneous intelligent agents to make them natively operate complex
cooperative tasks. When connecting intelligence, two main research questions arise to …

In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate
inference at the wireless edge, in the context of 6G networks endowed with reconfigurable …

Vertical federated learning has gained popularity as a means of enabling collaboration and
information sharing between different entities while maintaining data privacy and security …

Internet of Things (IoT) applications combine sensing, wireless communication, intelligence,
and actuation, enabling the interaction among heterogeneous devices that collect and …

This paper investigates the implementation of Federated Learning (FL) in an over-the-air
computation system with volatile clients, where each client operates under a limited energy …