| Presentation | 2023-03-16 Automated Driving Methods Using Federated Learning Koki Ono, Celimuge Wu, Tsutomu Yoshinaga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When learning autonomous driving behavior using machine learning, a huge amount of driving data is required, and a large amount of time and communication resources are required to collect driving data. Therefore, distributed machine learning methods that do not require collection of raw data are attracting attention. In this research, we propose an autonomous driving method based on federated learning. By aggregating learning results based on deep reinforcement learning with federated learning, the proposed method can improve the wireless resource utilization efficiency while reducing the learning time by avoiding the transmission of raw data and collecting learning experiences from multiple vehicles. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Autonomous driving / Federated learning / Deep reinforcement learning |
| Paper # | CQ2022-99 |
| Date of Issue | 2023-03-08 (CQ) |
| Conference Information | |
| Committee | IMQ / IE / MVE / CQ |
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| Conference Date | 2023/3/15(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawaken Seinenkaikan (Naha-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc（AC） |
| Chair | Kenya Uomori(Osaka Univ.) / Kazuya Kodama(NII) / Kiyoshi Kiyokawa(NAIST) / Jun Okamoto(NTT) |
| Vice Chair | Mitsuru Maeda(Canon) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Sumaru Niida(KDDI Research) / Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
| Secretary | Mitsuru Maeda(Nagoya Univ.) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(KDDI Research) / Sumaru Niida(Nagoya Inst. of Tech.) / Takefumi Hiraguri(NAIST) / Gou Hasegawa(DNP) |
| Assistant | Masato Tsukada(Univ. of Tsukuba) / Takashi Yamazoe(Seikei Univ.) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hidehiko Shishido(Univ. of Tsukuba) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Kimiko Kawashima(NTT) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(Okayama Univ. of Science) |
| Paper Information | |
| Registration To | Technical Committee on Image Media Quality / Technical Committee on Image Engineering / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automated Driving Methods Using Federated Learning |
| Sub Title (in English) | * |
| Keyword(1) | Autonomous driving |
| Keyword(2) | Federated learning |
| Keyword(3) | Deep reinforcement learning |
| 1st Author's Name | Koki Ono |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Celimuge Wu |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Tsutomu Yoshinaga |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2023-03-16 |
| Paper # | CQ2022-99 |
| Volume (vol) | vol.122 |
| Number (no) | CQ-438 |
| Page | pp.pp.96-101(CQ), |
| #Pages | 6 |
| Date of Issue | 2023-03-08 (CQ) |