Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

The systematic CCTL framework consists of four essential steps: data fetching and preprocessing, cross-domain linking and feature alignment, model refinement and generalization, and deployment with ...