A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2024.230182 , discusses efficient stochastic parallel gradient descent training for on-chip optical processors.

Heqing Tan, Chun-bin Yu, Muqing Du, A multiple-path gradient projection method for solving the logit-based stochastic user equilibrium model, Journal of Transport and Land Use, Vol. 13, No. 1 (2020), ...

For example, gradient descent is often used in machine learning in ways that don’t require extreme precision. But a machine learning researcher might want to double the precision of an experiment. In ...