Device-Induced Mobility Heterogeneity and Its Impact on Federated Next-Location Prediction

Predicting human mobility is central to network management, urban planning, and location-based services, yet privacy concerns are increasingly pushing such tasks toward federated learning. A key challenge in this setting is the strong heterogeneity of mobility data across users, which leads to non-I