Secure Aggregation Protocol Based on DC-Nets and Secret Sharing for Decentralized Federated Learning

In the era of big data, millions and millions of data are generated every second by different types of devices. Training machine-learning models with these data has become increasingly common. However, the data used for training are often sensitive and may contain information such as medical, bankin...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Diogo Pereira, Paulo Ricardo Reis, Fábio Borges
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	decentralized federated learning secure aggregation DC-nets secret sharing privacy
Online Access:	https://www.mdpi.com/1424-8220/24/4/1299