Scaling of hardware-compatible perturbative training algorithms

Bakhrom G. Oripov, Andrew Dienstfrey, Adam N. McCaughan +1

In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a…