Secure and decentralized federated learning framework with non-IID data based on blockchain

Federated learning enables the collaborative training of machine learning models across multiple organizations, eliminating the need for sharing sensitive data. Nevertheless, in practice, the data distributions among these organizations are often non-independent and identically distributed (non-IID)...

Full description

Bibliographic Details

Published in:	Heliyon
Main Authors:	Feng Zhang, Yongjing Zhang, Shan Ji, Zhaoyang Han
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Subjects:	Blockchain Federated learning Smart contract Non-IID data Privacy preservation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024032079