Fine-Tuning Large Language Models with User-Level Differential Privacy

Documenti analoghi

• DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
  di: Rush, Keith, et al.
  Pubblicazione: (2024)
• Federated Automatic Differentiation
  di: Rush, Keith, et al.
  Pubblicazione: (2023)
• Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
  di: Koloskova, Anastasia, et al.
  Pubblicazione: (2023)
• An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy
  di: McMahan, H. Brendan, et al.
  Pubblicazione: (2025)
• CacheFL: Privacy-Preserving and Efficient Federated Cache Model Fine-Tuning for Vision-Language Models
  di: Yi, Mengjun, et al.
  Pubblicazione: (2025)