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Conference Paper: FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning

TitleFLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
Authors
Issue Date15-Jun-2024
Persistent Identifierhttp://hdl.handle.net/10722/347495

 

DC FieldValueLanguage
dc.contributor.authorZhang, Junyuan-
dc.contributor.authorZeng, Shuang-
dc.contributor.authorZhang, Miao-
dc.contributor.authorWang, Runxi-
dc.contributor.authorWang, Feifei-
dc.contributor.authorZhou, Yuyin-
dc.contributor.authorLiang, Paul Pu-
dc.contributor.authorQu, Liangqiong-
dc.date.accessioned2024-09-24T00:30:27Z-
dc.date.available2024-09-24T00:30:27Z-
dc.date.issued2024-06-15-
dc.identifier.urihttp://hdl.handle.net/10722/347495-
dc.languageeng-
dc.relation.ispartof2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17/06/2024-21/06/2024, Seattle)-
dc.titleFLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning-
dc.typeConference_Paper-

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