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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Nilay Khare

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Open access Aug 2026

Hierarchical federated edge learning with criticality-aware aggregation for privacy-preserving fetal health classification

A novel Criticality-Aware Federated Learning framework with Hierarchical Edge Aggregation, designated as FedCrit-HEA, which achieves a global macro-averaged F1-score of 0.904 and a pathological-class recall of 84.2% on the UCI partition, and reduces wide-area network communication overhead by up to 75% compared to conv...

Laxmi Rajani, Pragati Agrawal, Nilay Khare et al. · 0 citations
Jul 2026

Flip-med: federated learning for innovative precision medicine - enhancing data privacy and predictive performance

This probe examines the utilization of federated learning enhanced with differential privacy to tackle difficulties while upholding a high level of predicted precision and evaluates the effectiveness of federated models in comparison with typical centralized models by employing sophisticated machine learning techniques...

Rahul Haripriya, Nilay Khare, M. Pandey et al. · 1 citation
Open access Jul 2026

EQS-net for feature-optimized cervical cancer diagnosis using multi-layer fusion & dimensionality reduction

EQS-NET is presented, a novel, lightweight, and feature-optimized Computer-Aided Diagnosis (CAD) framework that leverages a heterogeneous ensemble of compact CNNs — ShuffleNet, SqueezeNet, and EfficientNet — to extract complementary deep representations via transfer learning.

Bhawna Swarnkar, Nilay Khare, M. Gyanchandani et al. · 0 citations

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