Historically, anomalies detection was an important issue for industrial applications such as
the detection of a manufacturing failure or defect. It is still a current topic that tries to meet the …

Real-time monitoring and timely warning of air quality are vital components of building
livable cities and implementing the “Healthy China” strategy. Real-time, efficient, and …

We present a novel strategy for detecting global outliers in a federated learning setting,
targeting in particular cross-silo scenarios. Our approach involves the use of two servers and …

ABSTRACT∗ Along with the development of IoT (Internet of Things) infrastructure in power
grid, data quality is becoming essential for the management and safety of electric power grid …

The prevention and crackdown of fraud calls have been paid more and more attention by
industrial and academic societies. Most current researches based on machine learning …

La détection d'anomalies est une problématique importante dans de nombreux domaines
d'application comme la santé, le transport, l'industrie etc. Il s' agit d'un sujet d'actualité qui …