US Patent Issued to International Business Machines on June 23 for "Federated ensemble learning from decentralized data with incremental and decremental updates" (New York Inventors)

ALEXANDRIA, Va., July 15 -- United States Patent no. 12,664,482, issued on June 23, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Federated ensemble learning from decentralized data with incremental and decremental updates" was invented by Shiqiang Wang (White Plains, N.Y.), Supriyo Chakraborty (White Plains, N.Y.), Nirmit V. Desai (Yorktown Heights, N.Y.), Douglas M. Freimuth (New York), Wei-Han Lee (White Plains, N.Y.) and Changchang Liu (White Plains, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer implemented method includes distributing a plurality of prediction models, where each of a plurality of clients initially includes at least one associated prediction mode...