Patents by Inventor Harsh Chaudhari

Harsh Chaudhari has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Secure ensemble training and inference using heterogeneous private machine learning models
    Patent number: 11861476
    Abstract: One embodiment provides a method, including: receiving a query from a user; providing the query to data owners, wherein each of the data owners has a local machine learning model and wherein the plurality of data owners train a meta-model; secret sharing model output from the data owners between the other data owners, wherein the model output comprises an output responsive to the query computed using the local machine learning model; receiving, from each of the plurality of data owners, a set of meta-features corresponding to the query; and generating a response to the query, wherein the generating comprises determining, by evaluating the meta-model using the set of meta-features received from each of the plurality of data owners, weights for outputs from the local machine learning models and aggregating the outputs in view of the weights.
    Type: Grant
    Filed: August 18, 2021
    Date of Patent: January 2, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Dhinakaran Vinayagamurthy, Sandeep Nishad, Harsh Chaudhari, Pankaj Satyanarayan Dayama, Saneem Ahmed Chemmengath
  • SECURE ENSEMBLE TRAINING AND INFERENCE USING HETEROGENEOUS PRIVATE MACHINE LEARNING MODELS
    Publication number: 20230058219
    Abstract: One embodiment provides a method, including: receiving a query from a user; providing the query to data owners, wherein each of the data owners has a local machine learning model and wherein the plurality of data owners train a meta-model; secret sharing model output from the data owners between the other data owners, wherein the model output comprises an output responsive to the query computed using the local machine learning model; receiving, from each of the plurality of data owners, a set of meta-features corresponding to the query; and generating a response to the query, wherein the generating comprises determining, by evaluating the meta-model using the set of meta-features received from each of the plurality of data owners, weights for outputs from the local machine learning models and aggregating the outputs in view of the weights.
    Type: Application
    Filed: August 18, 2021
    Publication date: February 23, 2023
    Inventors: Dhinakaran Vinayagamurthy, Sandeep Nishad, Harsh Chaudhari, Pankaj Satyanarayan Dayama, Saneem Ahmed Chemmengath