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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

high-quality synthetic data generation

biblio

Visible to the public Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning

Submitted by aekwall on Mon, 01/11/2021 - 1:41pm
  • data handling
  • strict privacy guarantee
  • realistic fake data generation
  • private FL-GAN
  • Lipschitz limit
  • high-quality synthetic data generation
  • GAN training
  • differential privacy synthetic data generation
  • differential privacy sensitivity
  • differential privacy generative adversarial network model
  • data-holders
  • data generation
  • federated learning
  • security of data
  • data sharing
  • differential privacy
  • neural nets
  • composability
  • pubcrawl
  • Human behavior
  • Resiliency
  • learning (artificial intelligence)
  • information security
  • data privacy
  • Scalability

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