Leveraging Internal Representations of Model for Magnetic Image Classification

arXiv:2403.06797v1 Announce Type: new
Abstract: Data generated by edge devices has the potential to train intelligent autonomous systems across various domains. Despite the emergence of diverse machine learning approaches addressing privacy concerns and utilizing distributed data, security issues persist due to the sensitive storage of data shards in disparate locations. This paper introduces a potentially groundbreaking paradigm for machine learning model training, specifically designed for scenarios with only a single magnetic image and its corresponding label image available. We harness …

abstract arxiv autonomous autonomous systems classification concerns cs.cv cs.lg data devices distributed distributed data diverse domains edge edge devices emergence generated image intelligent locations machine machine learning privacy security storage systems train type