Presentation 2019-01-16
[Encouragement Talk] Implementation of Distributed Deep Learning over Wireless Sensor Network
Yuta Fukushima, Hirozumi Yamaguchi, Teruo Higashino,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this technical report, we design a new architecture to distribute and execute CNN (Convolutional neural network) over wireless sensor nodes. We have implemented this mechanism on a wireless sensor network consisting of Intel Edison and evaluated learning ability and communication overhead.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Fall Detection / Distributed Computing / Deep Learning / Convolutional Neural Network
Paper # MoNA2018-59
Date of Issue 2019-01-09 (MoNA)

Conference Information
Committee MoNA
Conference Date 2019/1/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) T. B. D.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryoichi Shinkuma(Kyoto Univ.)
Vice Chair Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC)
Assistant Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.)

Paper Information
Registration To Technical Committee on Mobile Network and Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Encouragement Talk] Implementation of Distributed Deep Learning over Wireless Sensor Network
Sub Title (in English)
Keyword(1) Fall Detection
Keyword(2) Distributed Computing
Keyword(3) Deep Learning
Keyword(4) Convolutional Neural Network
1st Author's Name Yuta Fukushima
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Hirozumi Yamaguchi
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Teruo Higashino
3rd Author's Affiliation Osaka University(Osaka Univ.)
Date 2019-01-16
Paper # MoNA2018-59
Volume (vol) vol.118
Number (no) MoNA-389
Page pp.pp.13-18(MoNA),
#Pages 6
Date of Issue 2019-01-09 (MoNA)