The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

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 …

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 (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …

Artificial intelligence (AI) is envisioned to be natively integrated into the sixth-generation (6G)
mobile networks to support a diverse range of intelligent applications. Federated edge …

Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …

Federated edge learning (FL) has become an unprecedented machine learning paradigm
that enables distributed training across multiple edge devices without sharing their private …

Federated edge learning (FL), as an emerging distributed machine learning paradigm,
allows a mass of edge devices to collaboratively train a global model while preserving …

In this paper, we consider privacy aspects of wireless federated learning (FL) with Over-the-
Air (OtA) transmission of gradient updates from multiple users/agents to an edge server. OtA …