| Presentation | 2022-03-04 [Invited Talk] Fuzzy Logic-based Client Selection for Federated Learning in Vehicular IoT Celimuge Wu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to support advanced vehicular Internet-of-Things applications, information exchanges among different vehicles are required to find efficient solutions for catering to different application requirements in complex and dynamic vehicular environments. Federated learning (FL), which is a type of distributed learning technology, has been attracting great interest in recent years as it performs knowledge exchange among different network entities without a violation of user privacy. This talk will discuss about the problem of how to achieve an efficient client selection to improve the learning performance of FL. We propose a fuzzy logic based client selection scheme to address this issue. The proposed scheme considers the number of local samples, the samples freshness, the computation capability, and the available communication resources based on a fuzzy logic approach. Extensive simulation results show that the proposed scheme outperforms other baselines. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Federated learningClient selectionFuzzy logicVehicular IoT |
| Paper # | ICM2021-50 |
| Date of Issue | 2022-02-24 (ICM) |
| Conference Information | |
| Committee | ICM |
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| Conference Date | 2022/3/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuhiko Kinoshita(Tokushima Univ.) |
| Vice Chair | Haruo Ooishi(NTT) / Eiji Takahashi(NEC) |
| Secretary | Haruo Ooishi(Bosco) / Eiji Takahashi(Fujitsu) |
| Assistant | Yoshifumi Kato(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Management |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] Fuzzy Logic-based Client Selection for Federated Learning in Vehicular IoT |
| Sub Title (in English) | |
| Keyword(1) | Federated learningClient selectionFuzzy logicVehicular IoT |
| 1st Author's Name | Celimuge Wu |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2022-03-04 |
| Paper # | ICM2021-50 |
| Volume (vol) | vol.121 |
| Number (no) | ICM-399 |
| Page | pp.pp.47-47(ICM), |
| #Pages | 1 |
| Date of Issue | 2022-02-24 (ICM) |