Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data

Documenti analoghi

• Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks
  di: Díaz, Judith Sáinz-Pardo, et al.
  Pubblicazione: (2025)
• Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
  di: Díaz, Judith Sáinz-Pardo, et al.
  Pubblicazione: (2026)
• Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas
  di: Díaz, Judith Sáinz-Pardo, et al.
  Pubblicazione: (2024)
• An Open Source Python Library for Anonymizing Sensitive Data
  di: Díaz, Judith Sáinz-Pardo, et al.
  Pubblicazione: (2024)
• A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
  di: Makris, Antonios, et al.
  Pubblicazione: (2026)