FEDERATED LEARNING SYSTEM AND FEDERATED LEARNING METHOD

Title:

FEDERATED LEARNING SYSTEM AND FEDERATED LEARNING METHOD

Document Type and Number:

Japanese Patent JP2023184198

Kind Code:

A

Abstract:

To perform multiple encrypting of a plurality of feature quantities and decrypting of the multiple-encrypted feature quantities that are multiple-encrypted, in multiple stages using different servers.SOLUTION: A federated learning system includes: one or more data transmitting devices that calculate a plurality of feature quantities from a learning model and multiple pieces of learning data, multiple-encrypt the plurality of feature quantities, and generate a plurality of encrypted feature quantities as transmission information; a feature quantity aggregation server that accepts input of the transmission information generated by the data transmitting devices, aggregates the plurality of encrypted feature quantities input, and generates an encrypted aggregated feature quantity; and a learning model update server that updates the learning model based on information received from the feature quantity aggregation server. The feature quantity aggregation server executes the first decryption process among a plurality of decryption processes that decrypts the encrypted aggregated feature quantity in multiple stages. The learning model update server executes the last decryption process among the plurality of decryption processes.SELECTED DRAWING: Figure 2

Inventors:

YAMAMOTO KYOHEI
YOSHINO MASAYUKI
YOKOHARI YUMIKO
SATO HISANOBU

Application Number:

JP2022098213A

Publication Date:

December 28, 2023

Filing Date:

June 17, 2022

Export Citation:

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Assignee:

HITACHI LTD

International Classes:

G09C1/00; G06N20/00; H04L9/30

Attorney, Agent or Firm:

Patent Attorney Corporation Sunnext International Patent Office

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