Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...

This research report investigates the robustness of Federated Learning (FL) by understanding and examining the performance of Federated Averaging (FedAvg) and Federated Proximal (Fed- Prox), along with the study of fading ...