FEDERATED LEARNING SYSTEM FOR PERFORMING INDIVIDUAL DATA CUSTOMIZED FEDERATED LEARNING, METHOD FOR FEDERATED LEARNING, AND CLIENT ARATUS FOR PERFORMING SAME
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United States of America Patent
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Issued Date -
May 4, 2023
app pub date -
Oct 28, 2022
filing date -
Nov 3, 2021
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Abstract
Proposed is a federated learning system. The federated learning system may comprise: a central server configured to transmit a first parameter of an extractor in a federated learning model including the extractor and a classifier to each of a plurality of client devices, and receive a plurality of first parameters learned from the plurality of client devices to update the federated learning model; and the plurality of client devices configured to train each of the plurality of the first parameters of the federated learning model using a training data set stored in each of the plurality of client devices while maintaining a value of a second parameter value of the classifier in the federated learning model, and to transmit each of the plurality of the trained first parameters to the central server.
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