Presentation 2023-03-26
Hardware Architectures of Ensemble Kalman Filters towards high-speed and memory-efficient online learning for reservoir computing
Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing. We verified how the use of the ensemble Kalman filter in reservoir learning can be improved compared to conventional online learning, such as reduction of memory usage. We also proposed a hardware architecture for the ensemble Kalman filter and evaluated it.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) reservoir computing / online learning / ensemble Kalman filter
Paper # CCS2022-70
Date of Issue 2023-03-19 (CCS)

Conference Information
Committee CCS
Conference Date 2023/3/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) RUSUTSU RESORT
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Megumi Akai(Hokkaido Univ.)
Vice Chair Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU)
Secretary Hidehiro Nakano(Shibaura Inst. of Tech.) / Masaki Aida(Mie Univ.)
Assistant Hiroyuki Yasuda(Univ. of Tokyo) / Hiroyasu Ando(Tsukuba Univ.) / Tomoyuki Sasaki(Shonan Inst. of Tech.) / Miki Kobayashi(Rissho Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hardware Architectures of Ensemble Kalman Filters towards high-speed and memory-efficient online learning for reservoir computing
Sub Title (in English)
Keyword(1) reservoir computing
Keyword(2) online learning
Keyword(3) ensemble Kalman filter
1st Author's Name Kota Tamada
1st Author's Affiliation Hokkaido University(Hokkaido Univ)
2nd Author's Name Yuki Abe
2nd Author's Affiliation Hokkaido University(Hokkaido Univ)
3rd Author's Name Kose Yoshida
3rd Author's Affiliation Hokkaido University(Hokkaido Univ)
4th Author's Name Tetsuya Asai
4th Author's Affiliation Hokkaido University(Hokkaido Univ)
Date 2023-03-26
Paper # CCS2022-70
Volume (vol) vol.122
Number (no) CCS-453
Page pp.pp.42-47(CCS),
#Pages 6
Date of Issue 2023-03-19 (CCS)