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Young Geun Kim

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning

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Mar 07, 2024
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FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning

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Nov 30, 2022
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AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning

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Jul 16, 2021
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AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance

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May 06, 2020
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