Author

Thanapal Pandi

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#federated learning Open access Sep 2026

Federated deep learning for stroke detection: a privacy-preserving, explainable CNN-LSTM framework.

Strict privacy regulations in healthcare limit the centralized sharing of medical imaging data, creating challenges for developing robust and generalizable diagnostic models. Federated learning (FL) offers a privacy-preserving paradigm in which participating institutions collaboratively train a global model without dir...

R. Samuel, Thanapal Pandi · Frontiers in Neuroscience · 0 citations

#federated learning Open access Sep 2026

Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection

Automatic cardiac arrhythmia detection using electrocardiogram (ECG) signals is essential for early diagnosis of cardiovascular conditions. Most of the previously existing systems for arrhythmia detection depend on fully supervised learning approaches. In addition to that, since the ECG patient data is centrally stored...

Silla Ann Regi, Jagadeesan Srinivasan, Thanapal Pandi · Frontiers in Artificial Inte... · 0 citations