Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges
Federated learning (FL) plays an important role in the development of smart cities. With the evolution of big data and artificial intelligence, issues related to data privacy and protection have emerged, which can be solved by FL. In this paper, the current developments in FL and its applications in...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2021.1936455 |
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| _version_ | 1850254995325190144 |
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| author | Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li |
| author_facet | Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li |
| author_sort | Zhaohua Zheng |
| collection | DOAJ |
| description | Federated learning (FL) plays an important role in the development of smart cities. With the evolution of big data and artificial intelligence, issues related to data privacy and protection have emerged, which can be solved by FL. In this paper, the current developments in FL and its applications in various fields are reviewed. With a comprehensive investigation, the latest research on the application of FL is discussed for various fields in smart cities. We explain the current developments in FL in fields, such as the Internet of Things (IoT), transportation, communications, finance, and medicine. First, we introduce the background, definition, and key technologies of FL. Then, we review key applications and the latest results. Finally, we discuss the future applications and research directions of FL in smart cities. |
| format | Article |
| id | doaj-art-674df9c747e44fbca60f8c0fb24bf178 |
| institution | OA Journals |
| issn | 0954-0091 1360-0494 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj-art-674df9c747e44fbca60f8c0fb24bf1782025-08-20T01:57:00ZengTaylor & Francis GroupConnection Science0954-00911360-04942022-12-0134112810.1080/09540091.2021.19364551936455Applications of federated learning in smart cities: recent advances, taxonomy, and open challengesZhaohua Zheng0Yize Zhou1Yilong Sun2Zhang Wang3Boyi Liu4Keqiu Li5Tianjin UniversityHainan UniversityHainan UniversityHainan UniversityUniversity of MacauTianjin UniversityFederated learning (FL) plays an important role in the development of smart cities. With the evolution of big data and artificial intelligence, issues related to data privacy and protection have emerged, which can be solved by FL. In this paper, the current developments in FL and its applications in various fields are reviewed. With a comprehensive investigation, the latest research on the application of FL is discussed for various fields in smart cities. We explain the current developments in FL in fields, such as the Internet of Things (IoT), transportation, communications, finance, and medicine. First, we introduce the background, definition, and key technologies of FL. Then, we review key applications and the latest results. Finally, we discuss the future applications and research directions of FL in smart cities.http://dx.doi.org/10.1080/09540091.2021.1936455federated learningsmart cityinternet of things |
| spellingShingle | Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges Connection Science federated learning smart city internet of things |
| title | Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges |
| title_full | Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges |
| title_fullStr | Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges |
| title_full_unstemmed | Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges |
| title_short | Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges |
| title_sort | applications of federated learning in smart cities recent advances taxonomy and open challenges |
| topic | federated learning smart city internet of things |
| url | http://dx.doi.org/10.1080/09540091.2021.1936455 |
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