Federated Learning in Practice: Reflections and Projections

Documenti analoghi

• Confidential Federated Computations
  di: Eichner, Hubert, et al.
  Pubblicazione: (2024)
• One-shot Empirical Privacy Estimation for Federated Learning
  di: Andrew, Galen, et al.
  Pubblicazione: (2023)
• How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
  di: Ponomareva, Natalia, et al.
  Pubblicazione: (2025)
• Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
  di: Shumailov, Ilia, et al.
  Pubblicazione: (2025)
• An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy
  di: McMahan, H. Brendan, et al.
  Pubblicazione: (2025)