A Novel Framework for Differential Privacy based Federated Continual Learning for Dynamic Medical Data Analysis
Experimental results demonstrate that the proposed FLC framework achieves high prediction performance, low forgetting rates during continual learning, and moderate communication overhead, which clearly shows the ability of the framework to provide scalability, generalization, and adequate privacy protection while ensur...