The paper maps SGD with L2 regularization into continuous-time differential equations and implements them with subthreshold log-domain circuits, simulating a single node and a linear regression with under 1% error versus software.
Patrick Xiao, Christopher H
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Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent
The paper maps SGD with L2 regularization into continuous-time differential equations and implements them with subthreshold log-domain circuits, simulating a single node and a linear regression with under 1% error versus software.