Drift-Aware Federated Orchestration for 5G Traffic Forecasting: A System-Level Simulation Study
Traffic conditions in modern cellular networks vary considerably over time and across locations, making efficient coordination increasingly difficult for distributed learning systems. Existing distributed traffic forecasting methods have largely focused on improving prediction models or optimizing individual coordinati...