FedGATE: Topology‐Aware Personalized Federated Learning With Utility and Carbon‐Aware Scheduling for Mobile Traffic Prediction
Accurate mobile traffic prediction is important for proactive resource allocation, congestion management, and service assurance in fifth‐generation and emerging sixth‐generation networks. Centralized deep‐learning approaches can provide strong forecasting performance but require raw traffic data to be transferred to...