ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,770,053, issued on Oct. 20, was assigned to Red Hat Inc. (Raleigh, N.C.).
"Selecting training nodes for training machine-learning models in a distributed computing environment" was invented by Huamin Chen (Westford, Mass.) and Ricardo Noriega De Soto (Gorgonzola, Italy).
According to the abstract* released by the U.S. Patent & Trademark Office: "Training nodes can be selected for use in training a machine-learning model according to some aspects described herein. In one example, a system can receive performance-metric values generated by training nodes, where the training nodes are configured to generate the performance-metric values by implementing an evaluation phase in which the t...