Memristor Based Variation Enabled Differentially Private Learning Systems for Edge Computing in IoT

Edge artificial intelligence (AI) achieves real-time local data analysis for IoT systems, enabling low-power and high-speed operation, but comes with privacy-preserving requirements. The memristor-based computing system is a promising solution for edge AI, but it needs a low-cost privacy protection mechanism due to limited resources. In this article, we propose a noise distribution normalization (...