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Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin
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  • Samuel Okegbile ,
  • Jun Cai ,
  • Hao Zheng ,
  • Jiayuan Chen ,
  • Changyan Yi
Samuel Okegbile
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Hao Zheng
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Jiayuan Chen
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Changyan Yi
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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.
Nov 2023Published in IEEE Journal on Selected Areas in Communications volume 41 issue 11 on pages 3533-3547. 10.1109/JSAC.2023.3310106