Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/165337
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dc.creatorJoão Guilherme Marques Afecto
dc.date.accessioned2025-11-04T23:38:02Z-
dc.date.available2025-11-04T23:38:02Z-
dc.date.issued2024-12-11
dc.date.submitted2025-02-14
dc.identifier.othersigarra:709881
dc.identifier.urihttps://hdl.handle.net/10216/165337-
dc.language.isoeng
dc.rightsembargoedAccess
dc.subjectCiências exactas e naturais
dc.subjectNatural sciences
dc.titleSafe Federated Learning with arbitrary custom code
dc.typeDissertação
dc.date.embargo2027-12-10
dc.contributor.uportoFaculdade de Ciências
dc.identifier.doi10.34626/12f6-mb87
dc.identifier.tid203810872
dc.subject.fosCiências exactas e naturais
dc.subject.fosNatural sciences
thesis.degree.disciplineMestrado em Ciência de Computadores
thesis.degree.grantorFaculdade de Ciências
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
rcaap.embargofctDado o carácter inovador do trabalho desenvolvido, a empresa pretende manter o segredo comercial da solução apresentada.
Appears in Collections:FCUP - Dissertação

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