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    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
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    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
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