ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,582, issued on Sept. 30, was assigned to Verizon Patent and Licensing Inc. (Basking Ridge, N.J.).

"Method and system for distributed deep machine learning" was invented by Andrew Feng (Cupertino, Calif.), Jun Shi (Sunnyvale, Calif.), Mridul Jain (Cupertino, Calif.) and Peter Cnudde (Los Altos, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present teaching relates to distributed deep machine learning on a cluster. In one example, a request is received for estimating one or more parameters associated with a machine learning model on a cluster including a plurality of nodes. A set of data is obtained to be used for estimating the one or mo...