In an automated industrial environment, a large volume of data and signals is available, both from sensors and actuators in machinery and from the interaction with operators and users. Operation diagnosis can have multiple ...

A common problem that arises when facing classification tasks is the class imbalance problem, which happens when one or more classes are heavily underrepresented compared to the rest, being usually those minority classes ...

Federated Learning (FL) is an emerging machine learning paradigm that enables multiple parties to collaboratively train models without sharing raw data, ensuring data privacy. In Vertical FL (VFL), where each party holds ...