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G. S. Kumar

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#federated learning Open access Oct 2026

Quantum-inspired context-aware adaptive federated edge intelligence for privacy-preserving healthcare analytics

Privacy-preserving healthcare analytics at the edge requires collaborative learning across distributed Internet of Medical Things (IoMT) devices while maintaining strict privacy guarantees, low inference latency, and high predictive accuracy. Existing federated learning frameworks employ static privacy budgets and fixe...

G. S. Kumar, Sumendra Yogarayan, Subarmaniam Kannan et al. · 0 citations

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