FedQoS: Federated QoS-Risk Learning for Heterogeneous Indoor-Outdoor Access Selection
Simulation results show that learning-based access selection substantially reduces the QoS-failure rate compared with signal-based and historical-QoS heuristic methods, and demonstrate the potential of federated QoS-risk learning for reliable, data-local access selection in dynamic wireless environments.