Development of an Enhanced Federated Feedforward Deep Learning Framework for Semantic Communication in Cross Institutional Research Collaboration
Compared to CNN- and GNN-based methods, the results show that the suggested semantic enabled FFNN framework provides a better balance of accuracy, communication efficiency, scalability, and privacy preservation, making it a workable and efficient solution for safe, extensive, cross-institutional research collaboration.