Semantic Scholar Open Access 2021 185 sitasi

Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges

Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu +1 lainnya

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (6)

Zhaohua Zheng

Yize Zhou

Yilong Sun

Zhang Wang

Boyi Liu

Keqiu Li

Format Sitasi

APA MLA BibTeX

Zheng, Z., Zhou, Y., Sun, Y., Wang, Z., Liu, B., Li, K. (2021). Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges. https://doi.org/10.1080/09540091.2021.1936455

Akses Cepat

Lihat di Sumber doi.org/10.1080/09540091.2021.1936455

Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 185×
Sumber Database: Semantic Scholar
DOI: 10.1080/09540091.2021.1936455
Akses: Open Access ✓