Documenti analoghi

• TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)
  di: Karthikeyan, Harish, et al.
  Pubblicazione: (2026)
• DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
  di: Bienstock, Alexander, et al.
  Pubblicazione: (2024)
• Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
  di: Ma, Yiping, et al.
  Pubblicazione: (2023)
• Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
  di: Zhou, Yvonne, et al.
  Pubblicazione: (2024)
• Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
  di: Zhou, Yvonne, et al.
  Pubblicazione: (2026)