PLDP-FL: Federated Learning with Personalized Local Differential Privacy

Gelijkaardige items

• A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy
  door: Yong Li, et al.
  Gepubliceerd in: (2023-11-01)
• Privacy-preserving federated learning approach based on Hensel’s compression and differential privacy
  door: Ahmed El Ouadrhiri, et al.
  Gepubliceerd in: (2025-11-01)
• PLDP-FL: Federated Learning with Personalized Local Differential Privacy
  door: Xiaoying Shen, et al.
  Gepubliceerd in: (2023-03-01)
• LF3PFL: A Practical Privacy-Preserving Federated Learning Algorithm Based on Local Federalization Scheme
  door: Yong Li, et al.
  Gepubliceerd in: (2024-04-01)
• A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
  door: Muhammad Adnan, et al.
  Gepubliceerd in: (2025-01-01)