Privacy-Encoded Federated Learning Against Gradient-Based Data Reconstruction Attacks

Article Properties
  • Publication Date
    2023/01/01
  • Indian UGC (journal)
  • Refrences
    51
  • Hongfu Liu School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China ORCID (unauthenticated)
  • Bin Li School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China ORCID (unauthenticated)
  • Changlong Gao China Aneng Construction Group Corporation Ltd., Beijing, China
  • Pei Xie China Aneng Construction Group Corporation Ltd., Beijing, China
  • Chenglin Zhao School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China ORCID (unauthenticated)
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Refrences
Title Journal Journal Categories Citations Publication Date
Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling 2013
Adversarial examples are not bugs, they are features
Deep gradient compression: Reducing the communication bandwidth for distributed training 2017
High performance convolutional neural networks for document processing
R-GAP: Recursive gradient attack on privacy 2020