US Patent Issued to Beijing Wodong Tianjun Information Technology on Sept. 22 for "System and method for asynchronous multi-aspect weighted federated learning" (California Inventors)

ALEXANDRIA, Va., Sept. 24 -- United States Patent no. 12,743,616, issued on Sept. 22, was assigned to Beijing Wodong Tianjun Information Technology Co. Ltd. (Beijing).

"System and method for asynchronous multi-aspect weighted federated learning" was invented by Huasong Shan (San Jose, Calif.), Tao Zeng (Livermore, Calif.), Yanqing Chen (Sunnyvale, Calif.), Peng Dai (Mountain View, Calif.) and Liefeng Bo (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "System and method for training a federated learning model asynchronously. The system includes a master and K number of institutional clients. The master is configured to execute an aggregation thread and K number of client management thread...