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Cornelius Karunakaran

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#federated learning Open access Sep 2026

A privacy preserving federated meta ensemble stacking framework with explainability and differential privacy for chronic kidney disease prediction in resource constrained settings

Findings demonstrate that the proposed framework provides an accurate, privacy-aware, and interpretable solution for decentralized CKD prediction, and maintains robust performance under Gaussian noise.

Komal Kumar Napa, D. Sathyanarayanan, Raguraman Purushothaman et al. · 0 citations
Open access Aug 2026

Feature-guided transformer approach for detecting distributed denial of service attacks

A transformer-based classifier for DDoS detection on the CIC-DDoS2019 dataset demonstrates stable convergence and generalization across folds, highlighting the strength of attention mechanisms in capturing feature dependencies, while also pointing to future directions such as real-time deployment, explainability, and r...

Lokeshwaran Kanagaraj, Raguraman Purushothaman, Sathya Subramanian et al. · 0 citations

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