Implementing federated learning (FL) algorithms in wireless networks has garnered a wide range of attention. However, few works have considered the impact user mobility on performance. To fill this research gap, we develop theoretical model to characterize hierarchical (HFL) algorithm where mobile users may roam across edge access points (APs), leading incompletion inconsistent FL training. We ...
