Federated Learning in Small-Cell Networks: Stochastic Geometry-Based Analysis on the Required Base Station Density
Recently, federated learning (FL) has been receiving great attention as an effective machine learning method to avoid the security issue in raw data collection, as well as to distribute the computing load to edge devices.However, even though wireless communication is an essential component for implementing FL in edge networks, there have been few w