IEEE

Graph Neural Network-Enhanced Feature Learning for Unsupervised Anomalous Sound Detection

Abstract: Anomalous sound detection (ASD) is crucial in industrial applications due to its non-invasive and real-time capabilities. However, existing ASD methods often rely on autoencoders, which ...
IEEE

Multimodal Feature Fusion Against Poisoning Attacks in Federated Graph Learning

Abstract: Recently, Federated Graph Learning (FedGL) has been widely used in personalized healthcare recommendations due to its strong privacy protection and collaborative learning across entities.