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FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Young Geun Kim | - |
| dc.date.accessioned | 2022-12-03T07:40:54Z | - |
| dc.date.available | 2022-12-03T07:40:54Z | - |
| dc.date.created | 2022-12-03 | - |
| dc.date.issued | 2022-11-07 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/146371 | - |
| dc.publisher | IEEE | - |
| dc.title | FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning | - |
| dc.title.alternative | FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Young Geun Kim | - |
| dc.identifier.bibliographicCitation | IEEE International Symposium on Workload Characterization (IISWC), pp.117 - 129 | - |
| dc.relation.isPartOf | IEEE International Symposium on Workload Characterization (IISWC) | - |
| dc.relation.isPartOf | Proceedings of IEEE International Symposium on Workload Characterization (IISWC) | - |
| dc.citation.title | IEEE International Symposium on Workload Characterization (IISWC) | - |
| dc.citation.startPage | 117 | - |
| dc.citation.endPage | 129 | - |
| dc.citation.conferencePlace | US | - |
| dc.citation.conferencePlace | Austin | - |
| dc.citation.conferenceDate | 2022-11-06 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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