Convergence of Over-the-Air Federated Learning With Imperfect Channel Estimates: A Unified View
Over-the-air computation-assisted federated learning (OTA-FL) exploits the superposition property of the wireless channel to markedly reduce the latency and bandwidth requirements of federated learning. Devices adapt their transmit power to enable over-the-air aggregation of the local models. However, imperfect channel...