Privacy-Preserving Federated Learning via Dataset Distillation

Documenti analoghi

• CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
  di: Wu, Hao, et al.
  Pubblicazione: (2024)
• Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
  di: Wang, Xingchen, et al.
  Pubblicazione: (2025)
• Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator
  di: Luo, Kangyang, et al.
  Pubblicazione: (2024)
• Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning
  di: Miao, Xiaoye, et al.
  Pubblicazione: (2025)
• FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
  di: Xu, Mingcong, et al.
  Pubblicazione: (2025)