BFG: privacy protection framework for internet of medical things based on blockchain and federated learning-Reference-Cited by-同舟云学术

BFG: privacy protection framework for internet of medical things based on blockchain and federated learning

Published:2023-04-25 Issue:1 Volume:35 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Liu Wenkang¹²,He Yuxuan¹²,Wang Xiaoliang¹²,Duan Ziming³,Liang Wei¹²,Liu Yuzhen¹²

Affiliation:

1. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, People’s Republic of China

2. Hunan Key Laboratory for Service Computing and Novel Software Technology, Hunan University of Science and Technology, Xiangtan, People’s Republic of China

3. School of Business, Hunan University of Science and Technology, Xiangtan, People’s Republic of China

Funder

Educational Commission of Hunan Province , China

SETI of Hunan University of Science and Technology (EK2104)Scientific Research Foundation of Hunan Provincial Education Department

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2199951

Reference44 articles.

1. Federated learning and differential privacy for medical image analysis

2. Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges

3. Comparative analysis of blockchain consensus algorithms

4. PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks

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