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Author

Love Allen Chijioke Ahakonye

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Conference Aug 2026

Calibration Collapse in Federated Industrial IoT Intrusion Detection Under Non-IID Heterogeneity

Federated learning (FL) has been proposed for privacy-preserving Industrial Internet of Things (IIoT) intrusion detection, and predictive uncertainty is expected to support zeroday attack recognition. We compare centralized learning with FedAvg, Mean, Trimmed Mean, Krum, and DP-FedAvg on nearindependent and identically...

C. I. Nwakanma, V. Ihekoronye, Love Allen Chijioke Ahakonye et al. · 0 citations
Open access Jul 2026

PureChain web-based energy predictor with federated learning Dirichlet for real-time energy consumption forecasting.

PureChain is presented, a blockchain-integrated federated learning framework that combines federated averaging, Dirichlet partitioning, LSTM-based forecasting, and a permissioned blockchain for secure client isolation and model rollback within a unified smart grid architecture.

Adah Lubwama Nanteza, Love Allen Chijioke Ahakonye, Dong-Seong Kim et al. · 0 citations

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