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AutoFL: Towards AutoML in a Federated Learning Context

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dc.contributor.authorPreuveneers, Davy
dc.date.accessioned2023-10-11T10:15:13Z
dc.date.available2023-08-11T16:46:00Z
dc.date.available2023-10-11T10:15:13Z
dc.date.embargo2023-07-09
dc.date.issued2023
dc.description.wosFundingTextThis research is partially funded by the Research Fund KU Leuven, and by the Flemish Research Programme Cybersecurity. This paper was also partially supported by the AIDE project funded by the Belgian SPF BOSA under the program "Financing of projects for the development of artificial intelligence in Belgium" with reference number 06.40.32.33.00.10.
dc.identifier.doi10.3390/app13148019
dc.identifier.issn2076-3417
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42319
dc.publisherMDPI
dc.source.beginpageArt. 8019
dc.source.endpagena
dc.source.issue14
dc.source.journalAPPLIED SCIENCES-BASEL
dc.source.numberofpages29
dc.source.volume13
dc.subject.keywordsCHALLENGES
dc.title

AutoFL: Towards AutoML in a Federated Learning Context

dc.typeJournal article
dspace.entity.typePublication
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