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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
15:05
Osaka Osaka Univ. (Suita Campus) Efficient Replay Data Selection in Continual Federated Learning Model
Yuto Kitano (Kobe Univ), Lihua Wang (NICT), Seiichi Ozawa (Kobe Univ) IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78
In this study, we propose a continual federated learning that can continuously learn distributed data generated daily by... [more] IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78
pp.135-141
MI, MICT 2023-11-14
13:40
Fukuoka   Arrhythmia Classification From Electrocardiogram by Gradient Boosting and Physician's Diagnosis-based algorithm.
Haruto Shirae, Nobuhiro Nishii, Hiroshi Morita (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MICT2023-31 MI2023-24
Implantable cardiac electrical devices can record a variety of arrhythmic events, but the determination of supraventricu... [more] MICT2023-31 MI2023-24
pp.25-28
LOIS 2023-03-13
16:35
Okinawa
(Primary: On-site, Secondary: Online)
Lifelog Data Analyses of SNS Users Based on Supervised Learning to Forecast the Number of Bookmarks of A Post
Komei Arasawa, Shun Matsukawa, Nobuyuki Sugio, Naofumi Wada, Hiroki Matsuzaki (Hokkaido Univ. of Sci.) LOIS2022-56
It is an important issue to establish how to produce and transmit a post that triggers people's interest, in marketing a... [more] LOIS2022-56
pp.72-76
HWS, VLD 2023-03-02
17:15
Okinawa
(Primary: On-site, Secondary: Online)
Communication-Efficient Federated Learning with Gradient Boosting Decision Trees
Kotaro Shimamura, Shinya Takamaeda (UTokyo) VLD2022-99 HWS2022-70
Federated learning (FL) is a machine learning method in which clients learn cooperatively without disclosing private dat... [more] VLD2022-99 HWS2022-70
pp.137-142
SeMI 2022-01-21
15:20
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] Asynchronous Gradient-Boosted Decision Trees for Distributed Sensing Devices
Yui Yamashita, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-64
Recently, wearable devices that install multiple sensors have been widely used. Although sensor data from these devices ... [more] SeMI2021-64
pp.45-47
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