| Presentation | 2023-08-31 Performance Analysis of On-device Hierarchical Federated Learning Frameworks Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the rapidly advancing field of artificial intelligence and deep learning, centralized architectures exhibit inherent limitations such as high latency and computational overhead. This study introduces a Hierarchical Federated Learning (HFL) framework to overcome these challenges by decentralizing the learning process. Employing intermediary edge servers, HFL efficiently distributes computational and communication loads, as demonstrated through experiments with Raspberry Pi devices and the Cifar10 dataset. The results reveal significant improvements in model accuracy and convergence speed over traditional cloud-based Federated Learning (FL), showcasing the potential of HFL to enhance FL performance with acceptable communication costs. This innovation marks a step towards more resilient and adaptive learning systems in areas such as Intelligent Transportation Systems (ITS) and Internet of Things (IoT) devices. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hierarchical Federated Learning / Edge Computing / IoT / Intelligent Transportation Systems |
| Paper # | CQ2023-28 |
| Date of Issue | 2023-08-24 (CQ) |
| Conference Information | |
| Committee | CQ |
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| Conference Date | 2023/8/31(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tenjin-Misaki Sports Park |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Communications Quality, 6G, IoT, Resource Management, Wireless Transmission, Cross layer Technologies, etc. |
| Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Vice Chair | Takahiro Matsuda(Tokyo Metropolitan Univ.) / Gou Hasegawa(Tohoku Univ.) / Sumaru Niida(KDDI Research) |
| Secretary | Takahiro Matsuda(NTT) / Gou Hasegawa(Tama Univ.) / Sumaru Niida(Tsukuba Univ.) |
| Assistant | Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(Okayama Univ. of Science) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Analysis of On-device Hierarchical Federated Learning Frameworks |
| Sub Title (in English) | |
| Keyword(1) | Hierarchical Federated Learning |
| Keyword(2) | Edge Computing |
| Keyword(3) | IoT |
| Keyword(4) | Intelligent Transportation Systems |
| 1st Author's Name | Zhaoyang Du |
| 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 | 2023-08-31 |
| Paper # | CQ2023-28 |
| Volume (vol) | vol.123 |
| Number (no) | CQ-174 |
| Page | pp.pp.14-19(CQ), |
| #Pages | 6 |
| Date of Issue | 2023-08-24 (CQ) |