File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.title 2021 대한산업공학회 추계공동학술대회 -
dc.contributor.author Hahn, Seok-Ju -
dc.contributor.author Jeong, Minwoo -
dc.contributor.author Lee, Junghye -
dc.date.accessioned 2024-01-31T21:07:52Z -
dc.date.available 2024-01-31T21:07:52Z -
dc.date.created 2022-01-03 -
dc.date.issued 2021-11-12 -
dc.identifier.bibliographicCitation 2021 대한산업공학회 추계공동학술대회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/76624 -
dc.publisher 대한산업공학회 -
dc.title Learning a Personalized Subspace for Federated Learning -
dc.type Conference Paper -
dc.date.conferenceDate 2021-11-12 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.