Over-the-Air Federated Averaging with Limited Power and Privacy Budgets. (arXiv:2305.03547v1 [cs.LG])

To jointly overcome the communication bottleneck and privacy leakage of
wireless federated learning (FL), this paper studies a differentially private
over-the-air federated averaging (DP-OTA-FedAvg) system with a limited sum
power budget. With DP-OTA-FedAvg, the gradients are aligned by an alignment
coefficient and aggregated over the air, and channel noise is employed to
protect privacy. We aim to improve the learning performance by jointly
designing the device scheduling, alignment coefficient, and the number of
aggregation rounds of federated averaging (FedAvg) subject …

alignment budget budgets channel communication federated learning noise power privacy private studies system wireless