Fed-MoSeC: A Federated Learning Framework for Cross-Modal Semantic Communication Systems in Mobile Networks
Semantic communication systems in mobile networks necessitate real-time collaborative updates of semantic encoders as a result of node mobility that induces semantic extraction drift. However, diversity within modal transmission content and heterogeneous encoder architectures, along with challenges such as imbalanced t...