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

Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …

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 …

This article integrates nonorthogonal multiple access (NOMA) and over-the-air federated
learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting …

With its privacy-preserving and decentralized features, distributed learning plays an
irreplaceable role in the era of wireless networks with a plethora of smart terminals, an …

With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal
multiple access (NOMA) into an on-demand universal framework, this paper proposes a …

Over-the-air analog computation allows offloading computation to the wireless environment
through carefully constructed transmitted signals. In this paper, we design and implement …

Over-the-air computation (OAC) is a promising technology that can achieve rapid model
aggregation by utilizing the wireless waveform superposition feature to harness the …

This paper considers a reconfigurable intelligent surface (RIS) aided orthogonal frequency
division multiplexing (OFDM) relaying system, and investigates the joint design of RIS …

Wireless federated learning (WFL) undergoes a communication bottleneck in uplink, limiting
the number of users that can upload their local models in each global aggregation round …