Patents by Inventor Karishnu Poddar

Karishnu Poddar 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).

  • Machine learning based ranking of private distributed data, models and compute resources
    Patent number: 11551119
    Abstract: A method for ranking includes the steps of receiving, at least one model from a central server to form at least one model node; training, the at least one model node with at least one data node to generate a trained model; generating, a weight from each of the at least one data node for the trained model; transferring, the weight from the at least one data node to the central server; inferencing, an inference output using the trained model and the data node; determining, an edge between the at least one data node and the model node, wherein the edge is determined depending on the influence of the data node or the model node on each other in generating the trained model and the inference output; determining a score for the data node and the model node based on the edge formed.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: January 10, 2023
    Assignee: S20.AI, INC.
    Inventors: Sai Sri Sathya, Tabish Imran, Santanu Bhattacharya, Karishnu Poddar
  • MACHINE LEARNING BASED RANKING OF PRIVATE DISTRIBUTED DATA, MODELS AND COMPUTE RESOURCES
    Publication number: 20210012225
    Abstract: A method for ranking includes the steps of receiving, at least one model from a central server to form at least one model node; training, the at least one model node with at least one data node to generate a trained model; generating, a weight from each of the at least one data node for the trained model; transferring, the weight from the at least one data node to the central server; inferencing, an inference output using the trained model and the data node; determining, an edge between the at least one data node and the model node, wherein the edge is determined depending on the influence of the data node or the model node on each other in generating the trained model and the inference output; determining a score for the data node and the model node based on the edge formed.
    Type: Application
    Filed: May 29, 2020
    Publication date: January 14, 2021
    Applicant: S20.ai, Inc.
    Inventors: Sai Sri Sathya, Tabish Imran, Santanu Bhattacharya, Karishnu Poddar