GSFedSec: Group Signature-Based Secure Aggregation for Privacy Preservation in Federated Learning

Privacy must be preserved when working with client data in machine learning. Federated learning (FL) provides a way to preserve user data privacy by aggregating locally trained models without sharing the user data. Still, the privacy of user identity is not preserved. Secure aggregation is a popular...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Sneha Kanchan, Jae Won Jang, Jun Yong Yoon, Bong Jun Choi
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	data privacy user privacy federated learning secure aggregation efficiency group signature
Online Access:	https://www.mdpi.com/2076-3417/14/17/7993