As an essential component part of the Intelligent Transportation System
...
In the era of 5G mobile communication, there has been a significant surg...
Federated learning (FL) enables distributed clients to collaboratively t...
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
Website fingerprinting attack is an extensively studied technique used i...
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) wi...
This letter studies the energy-efficient design in a downlink multi-ante...
Motivated by the advancing computational capacity of distributed end-use...
Recently, federated learning (FL) has emerged as a promising distributed...
For UAV-aided wireless systems, online path planning attracts much atten...
Blockchain assisted federated learning (BFL) has been intensively studie...
Owing to the low communication costs and privacy-promoting capabilities,...
Federated learning (FL), as a type of distributed machine learning
frame...
Federated learning (FL), as a distributed machine learning paradigm, pro...
Motivated by the advancing computational capabilities of wireless end us...
Generative adversarial network (GAN) has attracted increasing attention
...
As a means of decentralized machine learning, federated learning (FL) ha...
In this paper, to effectively prevent information leakage, we propose a ...
In this paper, to effectively prevent the differential attack, we propos...
Motivated by the advancing computational capacity of wireless end-user
e...
In this paper, we provide a performance analysis for practical unmanned
...