| Presentation | 2022-01-21 [Short Paper] NLN: Name-based Learning Network Towards Efficient Distributed Machine Learning Tomoki Hirayama, Li Ruidong, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the increase in network traffic and the number of connected devices, future networks have recently been investigated. Among them, Named Data Networking (NDN) is a promising network paradigm for retrieving data from close server or router. Along this research line, in order to efficiently perform distributed machine learning, we propose a Name-based Learning Network (NLN), which efficiently enables asynchronous distributed learning and model aggregation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Named Data Network / Distributed Machine Learning |
| Paper # | SeMI2021-58 |
| Date of Issue | 2022-01-13 (SeMI) |
| Conference Information | |
| Committee | SeMI |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koji Yamamoto(Kyoto Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Yasunori Owada(NICT) |
| Secretary | Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) |
| Assistant | Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] NLN: Name-based Learning Network Towards Efficient Distributed Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Named Data Network |
| Keyword(2) | Distributed Machine Learning |
| 1st Author's Name | Tomoki Hirayama |
| 1st Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| 2nd Author's Name | Li Ruidong |
| 2nd Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| Date | 2022-01-21 |
| Paper # | SeMI2021-58 |
| Volume (vol) | vol.121 |
| Number (no) | SeMI-333 |
| Page | pp.pp.26-29(SeMI), |
| #Pages | 4 |
| Date of Issue | 2022-01-13 (SeMI) |