FL-E2WS is a Federated Learning algorithm designed as an optimization problem aimed at minimizing the energy consumption of devices in a wireless IoT network while maintaining the quality of the global model.
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FL-E2WS is a Federated Learning algorithm designed as an optimization problem aimed at minimizing the energy consumption of devices in a wireless IoT network while maintaining the quality of the global model.
LABORA-INF-UFG/FL-E2WS
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FL-E2WS is a Federated Learning algorithm designed as an optimization problem aimed at minimizing the energy consumption of devices in a wireless IoT network while maintaining the quality of the global model.
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