ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,461,991, issued on Nov. 4, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Distributed neural network training system" was invented by Yichun Shen (Shanghai), Siyi Li (Shanghai), Yuhong Wen (McLean, Va.) and Clement Farabet (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Apparatuses, systems, and techniques to train a machine-learned model. In at least one embodiment, a plurality of training clients each obtain an exclusive right to update a model in turn, and each client trains said model with training data not accessible to other training clients."

The patent was filed on Dec. 22, 2020, under Application No. 17/130,966.

*For fur...