Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach-Reference-Cited by-同舟云学术

Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach

Author:

Li Kai¹^ORCID,Zheng Jingjing²^ORCID,Yuan Xin³^ORCID,Ni Wei³^ORCID,Akan Ozgur B.⁴^ORCID,Poor H. Vincent⁵^ORCID

Affiliation:

1. Department of Engineering, University of Cambridge, Cambridge, U.K.

2. Real-Time and Embedded Computing Systems Research Centre (CISTER), Porto, Portugal

3. Digital Productivity and Services Flagship, Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, NSW, Australia

4. Department of Engineering, Division of Electrical Engineering, University of Cambridge, Cambridge, U.K.

5. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

Real-Time and Embedded Computing Systems Research Centre (CISTER) Research Unit

ADANET Project

IBEX Project, funded by the National Funds through FCT/MCTES

AXA Research Fund

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference62 articles.

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