FEDERATED LEARNING RESOURCE MANAGEMENT APPARATUS AND SYSTEM, AND RESOURCE EFFICIENCY METHOD THEREFOR

Title:

FEDERATED LEARNING RESOURCE MANAGEMENT APPARATUS AND SYSTEM, AND RESOURCE EFFICIENCY METHOD THEREFOR

Document Type and Number:

WIPO Patent Application WO/2021/201370

Kind Code:

A1

Abstract:

The present invention relates to a method performed by a federated learning (FL) resource management apparatus. An embodiment of the present invention comprises the steps of: receiving, from an FL server, request information for operation of a plurality of FL clients; selecting, on the basis of the request information, one or more FL clients to be operated from among the plurality of FL clients; distributing a basic model and a learning tool to the selected FL clients; and, as the FL server generates an integrated model on the basis of an updated model, receiving, from the FL server, a request for the distribution of the integrated model.

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Inventors:

KUM SEUNG WOO (KR)
MOON JAE WON (KR)
KIM YOUNG KEE (KR)

Application Number:

PCT/KR2020/017156

Publication Date:

October 07, 2021

Filing Date:

November 27, 2020

Export Citation:

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Assignee:

KOREA ELECTRONICS TECHNOLOGY (KR)

International Classes:

G06N20/00

Foreign References:

KR20200010480A	2020-01-30
CN110598870A	2019-12-20
KR20190096872A	2019-08-20

Other References:

WANG SHIQIANG; TUOR TIFFANY; SALONIDIS THEODOROS; LEUNG KIN K.; MAKAYA CHRISTIAN; HE TING; CHAN KEVIN: "Adaptive Federated Learning in Resource Constrained Edge Computing Systems", IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, IEEE SERVICE CENTER, PISCATAWAY., US, vol. 37, no. 6, 1 June 2019 (2019-06-01), US, pages 1205 - 1221, XP011724549, ISSN: 0733-8716, DOI: 10.1109/JSAC.2019.2904348
CALDAS SEBASTIAN, KONEČNY JAKUB, MCMAHAN H. BRENDAN, TALWALKAR AMEET: "Expanding the Reach of Federated Learning by Reducing Client Resource Requirements", 8 January 2019 (2019-01-08), XP055776744, Retrieved from the Internet

Attorney, Agent or Firm:

JIMYUNG PATENT FIRM (KR)

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