A one-time clustering of federated learning clients by label distribution reduces total energy consumption while keeping accuracy comparable to per-round active client selection.
Learning- Based Computation Offloading for IoT Devices With Energy Harvest- ing,
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Energy-Efficient Federated Learning for AIoT using Clustering Methods
A one-time clustering of federated learning clients by label distribution reduces total energy consumption while keeping accuracy comparable to per-round active client selection.