US Patent Issued to Telefonaktiebolaget LM Ericsson on Feb. 24 for "Method for efficient distributed machine learning hyperparameter search" (California Inventors)

ALEXANDRIA, Va., Feb. 24 -- United States Patent no. 12,561,611, issued on Feb. 24, was assigned to Telefonaktiebolaget LM Ericsson (publ) (Stockholm).

"Method for efficient distributed machine learning hyperparameter search" was invented by Hasan Farooq (Santa Clara, Calif.), Julien Forgeat (San Jose, Calif.) and Meral Shirazipour (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of a hyperparameter server improves hyper-parameter search efficiency for devices in a self-organizing network (SON) includes sending configuration for data feature collection to at least one edge device in the self-organizing network, receiving hyper-parameter performance data from the at least one edge ...