Privacy-preserving federated learning for proactive maintenance of IoT-empowered multi-location smart city facilities-Reference-Cited by-同舟云学术

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Privacy-preserving federated learning for proactive maintenance of IoT-empowered multi-location smart city facilities

Published:2024-11 Issue: Volume:231 Page:103996
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Tan Zu-Sheng^ORCID,See-To Eric W.K.,Lee Kwan-Yeung,Dai Hong-Ning,Wong Man-Leung^ORCID

Funder

LEO Pharma

Lingnan University

Innovation and Technology Commission

Publisher

Elsevier BV

Reference55 articles.

1. Energy-net: A deep learning approach for smart energy management in IoT-based smart cities;Abdel-Basset;IEEE Internet Things J.,2021

2. Federated learning in smart cities: Privacy and security survey;Al-Huthaifi;Inform. Sci.,2023

3. Smart cities: Definitions, dimensions, performance, and initiatives;Albino;J. Urban Technol.,2015

4. Data privacy for IoT systems: Concepts, approaches, and research directions;Bertino,2016

5. Privacy-aware resource sharing in cross-device federated model training for collaborative predictive maintenance;Bharti;IEEE Access,2021

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