Adaptive personalized over-the-air federated learning with reflecting intelligent surfaces
Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging the superposition property of the wireless medium, enabling bandwidth-efficient learning via simultaneous transmission of model updates. In this paper, we consider a federated learning system over a heterogeneous edge net...