| Presentation | 2023-03-03 [Short Paper] Split Learning Assisted Multi-UAV System In Image Classification Task Sun Tingkai, Wang Xiaoyan, Masahiro Umehira, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of applications. Coordinating the actions of several UAVs, however, can be difficult when completing high-level, complicated tasks like search and rescue missions, target surveillance, and information dissemination. To address this issue, distributed learning methods such as federated learning (FL) and split learning (SL) have been proposed. FL involves building a joint model by aggregating models trained on each UAV's local data, while SL involves splitting the model between the UAVs and a central server, with both parties collaborating to train the entire network. In this paper, investigations were made on the application of split learning (SL) in a multi-UAV system for image classification in scenarios including area exploration. A server was used to coordinate multiple UAVs, with each UAV using a local model trained on images gathered by its on-board camera to perform classification tasks. Local updates from all UAVs were communicated to the server, which then performed a global update and transmitted the results back to the UAVs. The performance of the proposed system was evaluated using an aerial perspective geographic dataset, and the effectiveness of SL compared to federated learning (FL) was discussed. It was found that SL significantly reduces local computation compared to FL, leading to faster learning times, and is particularly effective with unbalanced data. It also requires less data during the initial phases of training and has a faster convergence speed compared to centralized learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | distributed machine learning / Unmanned aerial vehicles / convolutional neural network / split learning / federated learning |
| Paper # | SR2022-93 |
| Date of Issue | 2023-02-22 (SR) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2023/3/1(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Kenichi Higuchi(Tokyo Univ. of Science) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu) |
| Vice Chair | Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) |
| Secretary | Tomoya Tandai(Panasonic) / Fumihide Kojima(Univ. of Electro-Comm) / Osamu Muta(Sharp) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT) / Keiichi Mizutani(KUT) / Kentaro Saito(NIigata Univ.) / Hirokazu Sawada |
| Assistant | Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Mai Ohta(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm) / Maki Arai(Nihon Univ.) / Yuichi Masuda(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Split Learning Assisted Multi-UAV System In Image Classification Task |
| Sub Title (in English) | |
| Keyword(1) | distributed machine learning |
| Keyword(2) | Unmanned aerial vehicles |
| Keyword(3) | convolutional neural network |
| Keyword(4) | split learning |
| Keyword(5) | federated learning |
| 1st Author's Name | Sun Tingkai |
| 1st Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 2nd Author's Name | Wang Xiaoyan |
| 2nd Author's Affiliation | Ibaraki University(Ibaraki Univ.) |
| 3rd Author's Name | Masahiro Umehira |
| 3rd Author's Affiliation | Nanzan University(Nanzan Univ.) |
| Date | 2023-03-03 |
| Paper # | SR2022-93 |
| Volume (vol) | vol.122 |
| Number (no) | SR-400 |
| Page | pp.pp.44-46(SR), |
| #Pages | 3 |
| Date of Issue | 2023-02-22 (SR) |