The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 07, 2026

Filed:

Oct. 04, 2023
Applicant:

Acer Incorporated, New Taipei City, TW;

Inventors:

Kai-Hsiang Lin, New Taipei City, TW;

Hung-Chun Chou, New Taipei City, TW;

Tung-Chan Tsai, New Taipei City, TW;

Chieh-Sheng Wang, New Taipei City, TW;

Shih-Hao Lin, New Taipei City, TW;

Wen-Cheng Hsu, New Taipei City, TW;

Assignee:

Acer Incorporated, New Taipei City, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/10 (2017.01); G06T 7/50 (2017.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/776 (2022.01); G06T 7/10 (2017.01); G06T 7/50 (2017.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A distributed data processing system and a distributed data processing method are provided. The distributed data processing system includes a computing device and at least one additional computing device. In the method, the computing device receives a dataset to be processed, selects at least one computing device capable of executing a first machine learning model on the dataset from the computing device and the additional computing device to process the dataset and generate a first prediction result, selects at least one computing device capable of executing each of multiple machine learning models on the dataset from the computing device and the additional computing device to process the dataset and generate at least a second prediction result and a third prediction result, selects a second machine learning model from the multiple machine learning models based on a comparison between the first prediction result and at least the second prediction result and the third prediction result, and instructs the at least one computing device for executing the second machine learning model to process the dataset.


Find Patent Forward Citations

Lin, Kai-Hsiang. (2026). Distributed data processing system and distributed data processing method (U.S. Patent No. 12597241). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12597241

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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