Machine learning for large-scale optimization in 6g wireless networks
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 …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing
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 …
increasingly appealing to exploit distributed data communication and learning. Specifically …
Over-the-air computation: Foundations, technologies, and applications
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …
intelligent services, which place unprecedented demands on massive connectivity and …
A graph neural network learning approach to optimize RIS-assisted federated learning
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
intelligence paradigm, where over-the-air computation enables spectral-efficient model …
Federated learning via unmanned aerial vehicle
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 …
learning for exploiting large amounts of data generated by networks while ensuring data …
[HTML][HTML] Oes-fed: a federated learning framework in vehicular network based on noise data filtering
Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …
management, intelligent dynamic information service, and intelligent vehicle control to …
Over-the-air federated learning with privacy protection via correlated additive perturbations
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 …
Air (OtA) transmission of gradient updates from multiple users/agents to an edge server. OtA …
RIS-assisted over-the-air federated learning in millimeter wave MIMO networks
In this paper, we propose a reconfigurable intelligent surface (RIS) assisted over-the-air
federated learning (FL), where multiple antennas are deployed at each edge device to …
federated learning (FL), where multiple antennas are deployed at each edge device to …
Federated learning over LEO satellite
The rapid development of low earth orbit (LEO) satellite communication has driven the
deployment of artificial intelligence (AI) in space, providing various intelligent services like …
deployment of artificial intelligence (AI) in space, providing various intelligent services like …
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Federated learning (FL) enables edge devices to collaboratively train machine learning
models, with model communication replacing direct data uploading. While over-the-air …
models, with model communication replacing direct data uploading. While over-the-air …