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Metric-privacy-inspired noise calibration in federated learning: Improving convergence and preventing client inference attacks

  • Judith Sáinz-Pardo Díaz
  • , Andreas Athanasiou
  • , Kangsoo Jung
  • , Catuscia Palamidessi
  • , Álvaro López García
  • Instituto de Fisica de Cantabria (CSIC-UC)
  • Delft University of Technology
  • Laboratoire d'Informatique (LIX)

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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Computer Science