Publication:

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

Date

2024
Journal article
https://doi.org/10.1007/s12243-023-00977-4
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dc.contributor.authorAL-Naday, Mays
dc.contributor.authorDobre, Vlad
dc.contributor.authorReed, Martin
dc.contributor.authorToor, Salman
dc.contributor.authorVolckaert, Bruno
dc.contributor.authorDe Turck, Filip
dc.contributor.imecauthorVolckaert, Bruno
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecVolckaert, Bruno::0000-0003-0575-5894
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.date.accessioned2024-10-07T09:37:49Z
dc.date.available2023-09-18T17:33:08Z
dc.date.available2023-11-21T11:14:43Z
dc.date.available2024-10-07T09:37:49Z
dc.date.embargo2023-08-31
dc.date.issued2024
dc.description.wosFundingTextThis work has been partially supported by the Equal Opportunities Fund, Uppsala University, Sweden.
dc.identifier.doi10.1007/s12243-023-00977-4
dc.identifier.issn0003-4347
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42557
dc.publisherSPRINGER INT PUBL AG
dc.source.beginpage165
dc.source.endpage178
dc.source.issue3-4
dc.source.journalANNALS OF TELECOMMUNICATIONS
dc.source.numberofpages14
dc.source.volume79
dc.title

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

dc.typeJournal article
dspace.entity.typePublication
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