Author

John Yearwood

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#explainable ai Review Oct 2026

Privacy Preserved and Explainable Deep Medical Image Analysis: A Survey

Deep neural networks play a significant role in medical image analysis, particularly in improving the efficiency and accuracy of disease diagnosis and treatment planning. The ability to preserve the privacy of medical data opens the door to harnessing more information to train powerful and intelligent AI models. Howeve...

Linkon Chowdhury, Selvarajah Thuseethan, Yakub Sebastian et al. · IEEE Transactions on Emergin... · 0 citations

#federated learning Oct 2026

Communication-Efficient Federated Learning via Fractional-Order Gradient Descent With Adaptive Momentum Under Non-IID Data

Federated learning (FL) enables collaborative model training without centralized data sharing, yet its practical deployment is often hindered by slow convergence and excessive communication overhead, particularly under non-Independent and non-Identically Distributed (non-IID) data distributions. To address these challe...

M. Hasan, Yong Xiang, Md. Palash Uddin et al. · IEEE Transactions on Emergin... · 0 citations