A survey on federated learning applications in healthcare, finance, and data privacy/data security-Reference-Cited by-同舟云学术

A survey on federated learning applications in healthcare, finance, and data privacy/data security

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management
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Author:

Nevrataki Theodora,Iliadou Anastasia,Ntolkeras George,Sfakianakis Ioannis,Lazaridis Lazaros,Maraslidis George,Asimopoulos Nikolaos,Fragulis George F.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0182160

Reference57 articles.

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2. H.-Y. Chen, C.-H. Tu, Z. Li, H.-W. Shen, and W.-L. Chao, “On pre-training for federated learning,” arXiv preprint arXiv:2206.11488 (2022).

3. X. Li, K. Huang, W. Yang, S. Wang, and Z. Zhang, “On the convergence of fedavg on non-iid data,” arXiv preprint arXiv:1907.02189 (2019).

4. A review of applications in federated learning

5. W. Y. B. Lim, N. C. Luong, D. T. Hoang, Y. Jiao, Y.-C. Liang, Q. Yang, D. Niyato, and C. Miao, “Federated learning in mobile edge networks: A comprehensive survey,” (2020), arXiv:1909.11875 [cs, eess].

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