US Patent Issued to Hewlett Packard Enterprise Development on Oct. 6 for "System and method of training heterogenous models using stacked ensembles on decentralized data" (Indian, French Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,211, issued on Oct. 6, was assigned to Hewlett Packard Enterprise Development LP (Spring, Texas).

"System and method of training heterogenous models using stacked ensembles on decentralized data" was invented by Sathyanarayanan Manamohan (Bangalore, India), Krishnaprasad Lingadahalli Shastry (Bangalore, India) and Sorin-Cristian Cheran (Grenoble, France).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for machine learning in a distributed, privacy-preserving manner. Particularly, the decentralized system can share machine learning models in a protected manner by training a first sub-model with a first local data set at ...