Patents by Inventor Ping-Yuan Hsu

Ping-Yuan Hsu 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).

  • Publication number: 20240127109
    Abstract: A federated learning method includes: providing importance parameters and performance parameters by client devices respectively to a central device, performing a training procedure by the central device, wherein the training procedure includes: selecting target devices from the client devices according to a priority order associated with the importance parameters, dividing the target devices into training groups according to a similarity of the performance parameters, notifying the target devices to perform iterations according to the training groups respectively to generate trained models, transmitting the trained models to the central device, and updating a global model based on the trained models, performing the training procedure again or outputting the global model to the client devices based on a convergence value of the global model and the number of times of performing the training procedure.
    Type: Application
    Filed: November 10, 2022
    Publication date: April 18, 2024
    Applicant: INSTITUTE FOR INFORMATION INDUSTRY
    Inventors: Ping Feng WANG, Chiun Sheng HSU, Chi-Yuan CHOU, Fu-Chiang CHANG
  • Publication number: 20240119283
    Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.
    Type: Application
    Filed: October 6, 2023
    Publication date: April 11, 2024
    Applicant: MEDIATEK INC.
    Inventors: Jui-Yang Hsu, Cheng-Sheng Chan, Jen-Chieh Tsai, Huai-Ting Li, Bo-Yu Kuo, Yen-Hao Chen, Kai-Ling Huang, Ping-Yuan Tseng, Tao Tu, Sheng-Je Hung
  • Publication number: 20040018415
    Abstract: A flat fuel cell assembly for producing electric power. The flat fuel cell assembly includes an insulation frame, two anodes and two membrane cathode assemblies. The insulation frame has two openings and a connecting portion therebetween. Each of the membrane cathode assemblies consists of a cathode coated with cathode catalyst and a solid electrolyte membrane. The anodes are coated with anode catalyst. The anodes and the membrane cathode assemblies form a fuel cell unit at each opening. The fuel cell units are connected in series by a connecting electrode embedded in the connection portion, forming a flat fuel cell assembly.
    Type: Application
    Filed: January 22, 2003
    Publication date: January 29, 2004
    Inventors: Chiou-Chu Lai, Ku-Yen Kang, Ping-Yuan Hsu, Kan-Lin Hsuch