Distributed Dictionary Learning is a set of python modules for learning a dictionary when the data and computational resources are distributed across multiple nodes in a network. The basic premise is ...

Abstract: This paper studies the problem of data-adaptive representations for big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have massive local ...

out-of-distribution (OOD) data detection plays a critical role in AI quality assurance. This paper presents an advanced OOD detection method based on Granular Computing (GrC) and dictionary learning, ...