Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-03-12 11:05
Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing
Osamu Saisho, Keiichiro Kashiwagi, Yui Saito, Tomoyuki Fujino (NTT) LOIS2019-73
Abstract (in Japanese) (See Japanese page) 
(in English) For edge computing, there is still a great demand to upload only meaningful data to cloud,. However there is no practical method, including active learning, for some edge computing environment where unlabeled data are distributed to each device and inaccessible. In addition, if active learning is well performed, uploaded data dis- tribution would be quite different from the data distribution in devices. In this research, we establish a distributed active learning method by incorporating time-series data clustering and minimization of the distance between the data distributions. We verify this method for cardiac arrhythmia classification. The results show its efficiency and performance.
Keyword (in Japanese) (See Japanese page) 
(in English) distributed activee learning / edge computing / time-series data / biosignal / data sampling / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 477, LOIS2019-73, pp. 97-101, March 2020.
Paper # LOIS2019-73 
Date of Issue 2020-03-04 (LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2019-73

Conference Information
Committee LOIS  
Conference Date 2020-03-11 - 2020-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2020-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distributed active learning achieving both of monitoring and efficient time-series data sampling for edge computing 
Sub Title (in English)  
Keyword(1) distributed activee learning  
Keyword(2) edge computing  
Keyword(3) time-series data  
Keyword(4) biosignal  
Keyword(5) data sampling  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Osamu Saisho  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Keiichiro Kashiwagi  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Yui Saito  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Tomoyuki Fujino  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2020-03-12 11:05:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2019-73 
Volume (vol) vol.119 
Number (no) no.477 
Page pp.97-101 
#Pages 5 
Date of Issue 2020-03-04 (LOIS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan