ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,870, issued on Oct. 27, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Federated training of machine learning models" was invented by Shuo Li (Beijing), Meng Wan (Beijing), A Peng Zhang (Xian, China), Xiaobo Wang (Beijing) and Sheng Yan Sun (Beijing).
According to the abstract* released by the U.S. Patent & Trademark Office: "The invention provides a federated model based on locally trained machine learning models. In embodiments, a method includes: monitoring, by a computing device, cached data of an entity in a networked group of entities for changes in data, wherein the cached data includes model output data from worker models and a master feature model...