Presentation 2022-05-13
[Special Invited Talk] Toward Development of Deep Unfolding-Based Versatile Framework for Systems Design
Masaki Ogura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Deep unfolding is a method for parameter adjustment based on deep learning-oriented techniques to accelerate the convergence of iterative algorithms. The high efficiency of this method has been demonstrated in various fields, such as wireless signal processing. In this talk, the speaker will discuss his recent research attempts to use the deep unfolding technique to establish general-purpose control system design techniques. The speaker will use the average consensus problem in complex networks as an example.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # CS2022-4
Date of Issue 2022-05-05 (CS)

Conference Information
Committee CQ / CS
Conference Date 2022/5/12(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Fukui (Fuku Pref.)
Topics (in Japanese) (See Japanese page)
Topics (in English) Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc.
Chair Jun Okamoto(NTT) / Jun Terada(NTT)
Vice Chair Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Daisuke Umehara(Kyoto Inst. of Tech.)
Secretary Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Daisuke Umehara(NICT)
Assistant Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Takahiro Yamaura(Toshiba) / Yuta Ida(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Communication Quality / Technical Committee on Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Special Invited Talk] Toward Development of Deep Unfolding-Based Versatile Framework for Systems Design
Sub Title (in English)
Keyword(1)
1st Author's Name Masaki Ogura
1st Author's Affiliation Osaka University(Osaka Univ.)
Date 2022-05-13
Paper # CS2022-4
Volume (vol) vol.122
Number (no) CS-14
Page pp.pp.18-18(CS),
#Pages 1
Date of Issue 2022-05-05 (CS)