Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/153869Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Fábio Ricardo Sousa Fernandes | |
| dc.date.accessioned | 2025-11-09T23:10:14Z | - |
| dc.date.available | 2025-11-09T23:10:14Z | - |
| dc.date.issued | 2023-10-16 | |
| dc.date.submitted | 2023-10-21 | |
| dc.identifier.other | sigarra:647878 | |
| dc.identifier.uri | https://hdl.handle.net/10216/153869 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Outras ciências da engenharia e tecnologias | |
| dc.subject | Other engineering and technologies | |
| dc.title | AutoFedL - Metalearning to Select the Best Federated Learning Strategy | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/6wey-kx17 | |
| dc.identifier.tid | 203423151 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias | |
| dc.subject.fos | Engineering and technology::Other engineering and technologies | |
| thesis.degree.discipline | Mestrado em Engenharia e Ciência de Dados | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| rcaap.embargofct | Parceria com Fraunhofer Portugal. | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 647878.pdf | AutoFedL - Metalearning to Select the Best Federated Learning Strategy | 1.59 MB | Adobe PDF | ![]() View/Open |
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