Documenti analoghi

• Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
  di: Díaz, Judith Sáinz-Pardo, et al.
  Pubblicazione: (2026)
• State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
  di: Zhang, Chaoyu, et al.
  Pubblicazione: (2024)
• Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
  di: Piran, Fardin Jalil, et al.
  Pubblicazione: (2025)
• Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
  di: Ghavamipour, Ali Reza, et al.
  Pubblicazione: (2024)
• Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
  di: Ghavamipour, Ali Reza, et al.
  Pubblicazione: (2024)