Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures
Version 2 2024-06-05, 07:20
Version 1 2022-02-09, 11:27
journal contribution
posted on 2024-06-05, 07:20 authored by Imran Razzak, G Xu, MK KhanGuest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures
History
Journal
IEEE Transactions on Industrial InformaticsVolume
18Pagination
3449-3451Publisher DOI
ISSN
1551-3203eISSN
1941-0050Language
EnglishPublication classification
C4 Letter or noteIssue
5Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyAutomation & Control SystemsComputer Science, Interdisciplinary ApplicationsEngineering, IndustrialComputer ScienceEngineeringMachine learningInformaticsCritical infrastructurePrivacyMedical servicesWireless communicationComputer scienceCritical InfrastructureSecurityFederated LearningCyber incident4604 Cybersecurity and privacy4606 Distributed computing and systems software
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