A Proposal for a Federated Learning Protocol for Mobile and Management Systems

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dc.contributor.authorMichálek, Jakubcs
dc.contributor.authorOujezský, Václavcs
dc.contributor.authorHolík, Martincs
dc.contributor.authorŠkorpil, Vladislavcs
dc.coverage.issue1cs
dc.coverage.volume14cs
dc.date.issued2023-12-21cs
dc.description.abstractIn this research paper, we introduce a federated learning communication protocol tailored for emergency management applications. Our primary objective is to tackle the communication challenges that arise in such critical scenarios. In order to overcome the limitations associated with centralized server architectures, we present an innovative communication protocol. This protocol empowers the framework to effectively cooperate with multiple centralized servers, fostering efficient knowledge sharing and model training while ensuring the utmost data privacy and security. By harnessing this protocol, our framework elevates the performance and resilience of vital infrastructure systems operating on the Android platform, thereby facilitating real-time operational scenarios. This research makes a substantial contribution to the field of emergency management applications, as we offer a comprehensive solution that optimizes communication and enables seamless collaboration with numerous centralized servers.en
dc.formattextcs
dc.format.extent1-14cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationApplied Sciences - Basel. 2023, vol. 14, issue 1, p. 1-14.en
dc.identifier.doi10.3390/app14010101cs
dc.identifier.issn2076-3417cs
dc.identifier.orcid0000-0001-5504-7533cs
dc.identifier.orcid0000-0001-7629-6299cs
dc.identifier.orcid0000-0002-8031-1663cs
dc.identifier.orcid0000-0003-0957-0563cs
dc.identifier.other186768cs
dc.identifier.researcheridQ-9784-2017cs
dc.identifier.scopus57160133400cs
dc.identifier.urihttp://hdl.handle.net/11012/245203
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/14/1/101cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectAndroiden
dc.subjectcommunication protocolen
dc.subjectfederated learningen
dc.subjectframeworken
dc.subjectmachine learningen
dc.subjectmobileen
dc.titleA Proposal for a Federated Learning Protocol for Mobile and Management Systemsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/MV0/VK/VK01030152cs
sync.item.dbidVAV-186768en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:37en
sync.item.modts2025.01.17 20:32:28en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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