Search Results - Taha Z.K.

  • Showing 1 - 2 results of 2
Refine Results
  1. 1
    Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data

    Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data by Taha Z.K., Paw J.K.S., Tak Y.C., Kiong T.S., Kadirgama K., Benedict F., Ding T.J., Ali K., Abed A.M.

    Published 2025
    Article
    Save to List
    Saved in:
  2. 2
    A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions

    A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions by Taha Z.K., Yaw C.T., Koh S.P., Tiong S.K., Kadirgama K., Benedict F., Tan J.D., Balasubramaniam Y.A.L.

    Published 2024
    Article
    Save to List
    Saved in:

Search Tools: