Invention Application
- Patent Title: APPARATUS AND METHOD FOR RECOMMENDING FEDERATED LEARNING BASED ON TENDENCY ANALYSIS OF RECOGNITION MODEL AND METHOD FOR FEDERATED LEARNING IN USER TERMINAL
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Application No.: US17109809Application Date: 2020-12-02
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Publication No.: US20220019916A1Publication Date: 2022-01-20
- Inventor: Jin-Hyeok JANG , Do-Hyung KIM , Jae-Hong KIM , Jae-Yeon LEE , Min-Su JANG , Jeong-Dan CHOI
- Applicant: Electronics and Telecommunications Research Institute
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Priority: KR10-2020-0088120 20200716
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06K9/62 ; G06N20/20

Abstract:
Disclosed herein are an apparatus and method for recommending federated learning based on recognition model tendency analysis. The method for recommending federated learning based on recognition model tendency analysis in a server device may include analyzing the tendency of a recognition model trained using reinforcement learning by each of multiple user terminals, grouping the multiple user terminals according to the tendency of the recognition model, and transmitting federated-learning group information including information about other user terminals grouped together with at least one of the multiple user terminals.
Information query