Sk Mahmudul Hasan on Muck Rack

Sk Mahmudul Hasan

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Federated learning with continual update for privacy-preserving clinical event prediction across distributed hospitals using MCN-GNN - Scientific Reports

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By N. Kanimozhi, B. Mahalakshmi, A. Padmanabhan Chandrasekar, M. Karpagam, K. Jagdeesh, Tanvir H. Sardar, N. Naveenkumar, Sk Mahmudul Hasan
| Nature
Abstract Federated Learning (FL) enables accurate and secure Clinical Event Prediction (CEP) across distributed hospitals. However, the prevailing works overlooked the catastrophic forgetting during the global update. Therefore, a Meta Experience Polynomial Decay-based Replay (MEPDR)-centric continual update is proposed. Initially, the hospitals (local model) register and log into the blockchain. Then, to train the CEP model, data collection, pre-processing, and feature extraction are performed.
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