Radio frequency fingerprint collaborative intelligent identification using incremental learning
For distributed sensor systems using neural networks, each sub-network has a different
electromagnetic environment, and these recognition accuracy is also different. In this paper …
electromagnetic environment, and these recognition accuracy is also different. In this paper …
Meta-learning based domain generalization framework for fault diagnosis with gradient aligning and semantic matching
Intelligent fault diagnosis models have de-monstrated superior performance in industrial
prognostics health management scenarios. However, these models may struggle to …
prognostics health management scenarios. However, these models may struggle to …
Tensor-empowered federated learning for cyber-physical-social computing and communication systems
The deep fusion of human-centered Cyber-Physical-Social Systems (CPSSs) has attracted
widespread attention worldwide and big data as the blood of CPSSs could lay a solid data …
widespread attention worldwide and big data as the blood of CPSSs could lay a solid data …
Intelligent passive detection of aerial target in space-air-ground integrated networks
Passive detection of moving target is an important part of intelligent surveillance. Satellite
has the potential to play a key role in many applications of space-air-ground integrated …
has the potential to play a key role in many applications of space-air-ground integrated …
Mitigating the backdoor attack by federated filters for industrial IoT applications
The federated learning provides an effective solution to train collaborative models over a
large scale of participated Industrial Internet of Things (IIoT) applications with the help of a …
large scale of participated Industrial Internet of Things (IIoT) applications with the help of a …