Communication-efficient multimodal split learning for mmWave received power prediction

Koda, Yusuke, Park, Jihong, Bennis, Mehdi, Yamamoto, Koji, Nishio, Takayuki, Morikura, Masahiro and Nakashima, Kota 2020, Communication-efficient multimodal split learning for mmWave received power prediction, IEEE communications letters, vol. 24, no. 6, pp. 1284-1288, doi: 10.1109/LCOMM.2020.2978824.

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Title Communication-efficient multimodal split learning for mmWave received power prediction
Author(s) Koda, Yusuke
Park, JihongORCID iD for Park, Jihong orcid.org/0000-0001-7623-6552
Bennis, Mehdi
Yamamoto, Koji
Nishio, Takayuki
Morikura, Masahiro
Nakashima, Kota
Journal name IEEE communications letters
Volume number 24
Issue number 6
Start page 1284
End page 1288
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2020-06
ISSN 1089-7798
1558-2558
Keyword(s) split learning
multi-modal deep learning
received power prediction
Millimeter-wave communications
Language eng
DOI 10.1109/LCOMM.2020.2978824
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
1005 Communications Technologies
0805 Distributed Computing
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139678

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