Biosignal processing

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

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 150 150

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 …

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