Ngā tūemi rite

• FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
  mā: Islam, Md Sirajul, me ētahi atu.
  I whakaputaina: (2024)
• 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)
• FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources
  mā: Islam, Md Sirajul, me ētahi atu.
  I whakaputaina: (2026)
• An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
  mā: Li, Yunbo, me ētahi atu.
  I whakaputaina: (2024)