A low-complexity greedy device scheduling policy based on channel strength and alignment reduces air-aggregation error and improves federated learning accuracy in low-SNR mobile IoT settings.
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Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
A low-complexity greedy device scheduling policy based on channel strength and alignment reduces air-aggregation error and improves federated learning accuracy in low-SNR mobile IoT settings.