A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods, and Applications

The author explores the challenges and solutions in federated transfer learning by integrating transfer learning into federated learning. They address issues such as data heterogeneity, system heterogeneity, incremental data, labeled data scarcity, and model heterogeneity.