MUMBAI, India, Sept. 26 -- Intellectual Property India has published a patent application (202441021934 A) filed by Hewlett Packard Enterprise Development Lp, Spring, U.S.A., on March 21, 2024, for 'cascaded privacy collaborative learning with enhanced performance.'
Inventor(s) include Jella, Radhakrishna; Soundarajan, Suresh; and Desai, Milind B.
The application for the patent was published on Sept. 26, under issue no. 39/2025.
According to the abstract released by the Intellectual Property India: "Systems and methods are provided for cascaded privacy decentralized learning. Examples herein provide network nodes that train local instance of a machine learning (ML) algorithm with local data over a plurality of training stages. Each network node determines local parameters at one or more iterations of training during each training stage and applies, during each training stage, an amount of differential privacy to respective local parameters. The amount of differential privacy applied during one training stage is less than an amount differential privacy applied during a preceding training stage. A leader node merges the local parameters from the network nodes and shares the merged parameters with the network nodes to provide common ML model."
Disclaimer: Curated by HT Syndication.
