US Patent Issued to SAP on June 16 for "Training optimization of regression trees using fully homomorphic encryption" (German Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,659,130, issued on June 16, was assigned to SAP SE (Walldorf, Germany).

"Training optimization of regression trees using fully homomorphic encryption" was invented by Jonas Boehler (Karlsruhe, Germany), Anselme Tueno (Ettlingen, Germany) and Christian Manz (Framersheim, Germany).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer implemented method can receive n training samples including sample values corresponding to m attributes and respective target values (n and m are positive integers), duplicate the sample values corresponding to the m attributes, pack the sample values into ciphertexts based on a batching option, and train a regression tree...