ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,699,882, issued on Aug. 4, was assigned to Wistron Corp. (New Taipei City, Taiwan).

"Optimizing method of distributed training and master computing apparatus" was invented by Yuan Fu Huang (New Taipei City, Taiwan).

According to the abstract* released by the U.S. Patent & Trademark Office: "An optimizing method of distributed training and a master computing apparatus are provided. In the method, a local model is trained by using one of multiple sample sets and a global parameter of a global model to generate a local parameter of the local model. One or more deviation parameters among the local parameter of multiple local models trained by the sample sets are determined. A distribution...