Federated Learning

Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin
This paper introduces a secure and efficient connectivity scheme for human digital twin (HDT) systems. It combines differential privacy, federated multi-task learning, and blockchain to ensure accuracy, privacy, and reduced connectivity costs. The proposed scheme enhances security and compares favorably to other solutions for HDT networks.
Samuel D. Okegbile, Jun Cai, Hao Zheng, Jiayuan Chen, Changyan Yi
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Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin