An Autoencoder-Based Constellation Design for AirComp in Wireless
Federated Learning
An Autoencoder-Based Constellation Design for AirComp in Wireless
Federated Learning
Wireless federated learning (FL) relies on efficient uplink communications to aggregate model updates across distributed edge devices. Over-the-air computation (a.k.a. AirComp) has emerged as a promising approach for addressing the scalability challenge of FL over wireless links with limited communication resources. Unlike conventional methods, AirComp allows multiple edge devices to …