Federated learning for digital twin applications: a privacy-preserving and low-latency approach

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Bibliographic Details
Published in:	PeerJ Computer Science (Aug 8, 2025)
Main Author:	Li, Jie
Other Authors:	Wang, Dong
Published:	PeerJ, Inc.
Subjects:	Encryption Datasets Accuracy Collaboration Servers Communication Digital twins Privacy Edge computing Mapping Transmission Blockchain Algorithms Clients Real time Federated learning Parameters Energy consumption Cybersecurity Efficiency
Online Access:	Citation/Abstract Full Text + Graphics Full Text - PDF
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