MUMBAI, India, June 6 -- Intellectual Property India has published a patent application (202517018493 A) filed by Google Llc, Mountain View, U.S.A., on March 3, for 'training and performing inference operations of machine learning models using secure multi-party computation.'
Inventor(s) include Wang, Gang; and Yung, Marcel M. Moti.
The application for the patent was published on June 6, under issue no. 23/2025.
According to the abstract released by the Intellectual Property India: "This disclosure relates to a privacy preserving machine learning platform. In one aspect, a method includes identifying a request for processing an input feature vector by a machine learning model using a multiple multi-party computation (MPC) cluster including a plurality of MPC computing systems. Each feature of the input feature vector is encoded to generate an encoded weight vector. A respective share of the encoded weight vectors is generated for each computing system and provided to a corresponding computing system to generate a partial prediction for the respective share. The MPC cluster collects modified partial predictions for the input feature vector from the rest of the multiple MPC computing systems, where each of the modified partial predications is generated based on the partial prediction by a corresponding MPC computing system. A final prediction is generated by the MPC cluster based on the respective partial predictions."
The patent application was internationally filed on Mar. 15, 2024, under International application No.PCT/US2024/020176.
Disclaimer: Curated by HT Syndication.
