A new CPU power estimation methodology with rail-to-cluster mapping enables analytical CMOS models on commodity Android devices, cutting energy use by 1.4x in AnycostFL while matching accuracy.
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A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices
A new CPU power estimation methodology with rail-to-cluster mapping enables analytical CMOS models on commodity Android devices, cutting energy use by 1.4x in AnycostFL while matching accuracy.