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...

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Bibliographic Details
Main Authors: Diogo Pereira, Paulo Ricardo Reis, Fábio Borges
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/4/1299