Art
J-GLOBAL ID:202002221013929426
Reference number:20A0697275
Communication-Efficient Federated Learning Using Non-Labeled Data
教師なしデータを用いた低通信コストな協調的学習法
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Author (4):
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Material:
Volume:
119
Issue:
406(SeMI2019 99-118)(Web)
Page:
47-48 (WEB ONLY)
Publication year:
Jan. 23, 2020
JST Material Number:
S0532B
ISSN:
0913-5685
Document type:
Proceedings
Article type:
短報
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (1):
JST classification
Category name(code) classified by JST.
Artificial intelligence
Reference (1):
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B. McMahan, E. Moore, D. Ramage, S. Hampson, and B.A. yArcas,“Communication-efficient learning of deep networks from decentralized data, ”Proc. AISTATS 2017, pp.1273-1282, Fort Lauderdale, FL, USA, April 2017.
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