Patents by Inventor Anton Kroger

Anton Kroger 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).

  • Federated learning with sound to detect anomalies in the industrial equipment
    Patent number: 11848027
    Abstract: In some example embodiments, there may be provided a method that includes receiving a machine learning model provided by a central server configured to provide federated learning; receiving first audio data obtained from at least one audio sensor monitoring at least one machine located at the first edge node; training, based on the first audio data, the machine learning model; providing parameter information to the central server in order to enable the federated learning among a plurality of edge nodes; receiving an aggregate machine learning model provided by the central server; detecting an anomalous state of the at least one machine. Related systems, methods, and articles of manufacture are also described.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: December 19, 2023
    Assignee: SAP SE
    Inventors: Kavitha Krishnan, Nicholas John Nicoloudis, Luxi Li, Pai-Hung Chen, Anton Kroger
  • FEDERATED LEARNING WITH SOUND TO DETECT ANOMALIES IN THE INDUSTRIAL EQUIPMENT
    Publication number: 20220351744
    Abstract: In some example embodiments, there may be provided a method that includes receiving a machine learning model provided by a central server configured to provide federated learning; receiving first audio data obtained from at least one audio sensor monitoring at least one machine located at the first edge node; training, based on the first audio data, the machine learning model; providing parameter information to the central server in order to enable the federated learning among a plurality of edge nodes; receiving an aggregate machine learning model provided by the central server; detecting an anomalous state of the at least one machine. Related systems, methods, and articles of manufacture are also described.
    Type: Application
    Filed: May 3, 2021
    Publication date: November 3, 2022
    Inventors: Kavitha Krishnan, Nicholas John Nicoloudis, Luxi Li, Pai-Hung Chen, Anton Kroger