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.
Energy efficient federated learning over wireless communication networks.IEEE Transactions on Wireless Communications, 20(3):1935–1949, 2021
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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.