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• May 31, 2024

Federated transfer learning for cross-silo data sharing – Complete Phd and Masters Thesis

[ad_1] Introduction Federated transfer learning is a cutting-edge approach in machine learning that leverages knowledge transfer among multiple organizations to enhance predictive models without the need to share sensitive data. Specifically, it aims to address…