Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking

Documenti analoghi

• Towards Federated RLHF with Aggregated Client Preference for LLMs
  di: Wu, Feijie, et al.
  Pubblicazione: (2024)
• FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
  di: Wu, Feijie, et al.
  Pubblicazione: (2024)
• Towards Poisoning Fair Representations
  di: Liu, Tianci, et al.
  Pubblicazione: (2023)
• Towards Universal Debiasing for Language Models-based Tabular Data Generation
  di: Li, Tianchun, et al.
  Pubblicazione: (2025)
• SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data
  di: Lu, Yiwen
  Pubblicazione: (2026)