FedFair^3: Unlocking Threefold Fairness in Federated Learning

Documenti analoghi

• FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
  di: Islam, Md Sirajul, et al.
  Pubblicazione: (2024)
• SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training
  di: Islam, Md Sirajul, et al.
  Pubblicazione: (2025)
• FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
  di: Islam, Md Sirajul, et al.
  Pubblicazione: (2024)
• FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources
  di: Islam, Md Sirajul, et al.
  Pubblicazione: (2026)
• Federated Fairness without Access to Sensitive Groups
  di: Papadaki, Afroditi, et al.
  Pubblicazione: (2024)