In recent years, data and computing resources are typically distributed in the devices of end
users, various regions or organizations. Because of laws or regulations, the distributed data …

Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …

Federated machine learning systems have been widely used to facilitate the joint data
analytics across the distributed datasets owned by the different parties that do not trust each …

Due to privacy concerns of users and law enforcement in data security and privacy, it
becomes more and more difficult to share data among organizations. Data federation brings …

Sparse Discriminant Analysis (SDA) has been widely used to improve the performance of
classical Fisher's Linear Discriminant Analysis in supervised metric learning, feature …

We consider in this work small random perturbations of a nonlinear oscillator with friction–
type dissipation. We rigorously prove that under non–degenerate perturbations of …