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 journal › Article › peer-review
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Citation
(Scopus)