A 65 nm Privacy-Preserving Neuromorphic Encoder With 7.13 nJ Efficiency, 2.38 Mb/mm2 2T–2T Item Memory Density and Federated Learning Support https://sscs.ieee.org/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 https://secure.gravatar.com/avatar/8fcdccb598784519a6037b6f80b02dee03caa773fc8d223c13bfce179d70f915?s=96&d=mm&r=g
Abstract:
The increasing demand for privacy-preserving personal data analytics in smart assistants and context-aware systems necessitates hardware that is both energy-efficient and secure. This work presents a 65 nm privacy-preserving neuromorphic encoder that addresses these challenges through physically uncloneable and hardware-efficient encoding. At the core of the architecture is a 2T–2T …