Presentation 2023-01-27
A Study on Reinforcement Learning-Based Adaptive Random Walk SGD for Attack-Resilient Decentralized Federated Learning
Masakazu Okamoto, Koya Sato, Keiichi Iwamura,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SR2022-76
Date of Issue 2023-01-19 (SR)

Conference Information
Committee SR
Conference Date 2023/1/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Takanawa Campus, Tokai Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc.
Chair Suguru Kameda(Hiroshima Univ.)
Vice Chair Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR)
Secretary Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT)
Assistant Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Reinforcement Learning-Based Adaptive Random Walk SGD for Attack-Resilient Decentralized Federated Learning
Sub Title (in English)
Keyword(1)
1st Author's Name Masakazu Okamoto
1st Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
2nd Author's Name Koya Sato
2nd Author's Affiliation The University of Electro-Communications(UEC)
3rd Author's Name Keiichi Iwamura
3rd Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
Date 2023-01-27
Paper # SR2022-76
Volume (vol) vol.122
Number (no) SR-364
Page pp.pp.20-27(SR),
#Pages 8
Date of Issue 2023-01-19 (SR)