A Secure and Fair Federated Learning Framework Based on Consensus Incentive Mechanism

Federated learning facilitates collaborative computation among multiple participants while safeguarding user privacy. However, current federated learning algorithms operate under the assumption that all participants are trustworthy and their systems are secure. Nonetheless, real-world scenarios pres...

Full description

Bibliographic Details

Published in:	Mathematics
Main Authors:	Feng Zhu, Feng Hu, Yanchao Zhao, Bing Chen, Xiaoyang Tan
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	federated learning blockchain malicious model detection contribution evaluation
Online Access:	https://www.mdpi.com/2227-7390/12/19/3068