BEFL is a client-selection framework for federated learning that jointly optimizes model accuracy, total device energy, and the variance of energy consumption across devices, evaluated on simulated CIFAR-10 and MNIST tasks.
To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices,
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BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
BEFL is a client-selection framework for federated learning that jointly optimizes model accuracy, total device energy, and the variance of energy consumption across devices, evaluated on simulated CIFAR-10 and MNIST tasks.