Differentially Private Federated Multi-Task Learning Framework for
Enhancing Human-to-Virtual Connectivity in Human Digital Twin
Abstract
This paper presents a new, secure, privacy-preserving and efficient
human-to-virtual twin connectivity scheme for HDT by integrating three
key techniques: differential privacy, federated multi-task learning and
blockchain.