Privacy-Preserving Active Learning for circular manufacturing supply chains for extreme data sparsity scenarios

This article describes a researcher's frustration with extreme data sparsity in circular manufacturing supply chains for rare-earth magnets. The research was sparked by a dilemma between collecting more data or forcing sharing, leading to an epiphany about active learning for rare-event detection and privacy preservation.