Dynamic Digital Twin and Federated Learning With Incentives for Air-Ground Networks

The air-ground network provides users with seamless connections and real-time services, while its resource constraint triggers a paradigm shift from machine learning to federated learning. Federated learning enables clients to collaboratively train models without sharing data. Digital twins provide virtual representation of the air-ground networks to reflect the time-varying status, which in combi...