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FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated LearningFedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning

Alternative Title
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Authors
Young Geun Kim
Issue Date
7-11월-2022
Publisher
IEEE
Citation
IEEE International Symposium on Workload Characterization (IISWC), pp.117 - 129
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/146371
Conference Name
IEEE International Symposium on Workload Characterization (IISWC)
Place
US
Austin
Conference Date
2022-11-06
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Graduate School > Department of Computer Science and Engineering > 2. Conference Papers

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