Ngā tūemi rite

• FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
  mā: Islam, Md Sirajul, me ētahi atu.
  I whakaputaina: (2024)
• FedFair^3: Unlocking Threefold Fairness in Federated Learning
  mā: Javaherian, Simin, me ētahi atu.
  I whakaputaina: (2024)
• SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training
  mā: Islam, Md Sirajul, me ētahi atu.
  I whakaputaina: (2025)
• Incentive-Compatible Federated Learning with Stackelberg Game Modeling
  mā: Javaherian, Simin, me ētahi atu.
  I whakaputaina: (2025)
• FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources
  mā: Islam, Md Sirajul, me ētahi atu.
  I whakaputaina: (2026)