Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin-Reference-Cited by-同舟云学术

Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin

Author:

Okegbile Samuel D.¹^ORCID,Cai Jun¹^ORCID,Zheng Hao²,Chen Jiayuan²^ORCID,Yi Changyan²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Network Intelligence and Innovation Laboratory (NI²L), Concordia University, Montreal, Canada

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant

Concordia University PERFORM Research Chair Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference43 articles.

5. A theoretical perspective on differentially private federated multi-task learning;wu;arXiv 2011 07179,2020

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