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Author

Jae Min Lee

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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
Conference Jul 2026

LAVA-Control: Stable Cost-Aware Intelligence Density Adaptation for Distributed IDS in Heterogeneous IoT Networks

In ubiquitous networks, sensing and compute resources are distributed across numerous heterogeneous nodes. Consequently, fixed Intrusion Detection Systems (IDS) deployments either lead to resource wastage or leave security gaps. LAVA-Control addresses this challenge by treating intelligence density, which is the number...

Kalibbala Jonathan Mukisa, Jae Min Lee, Dong-Seong Kim · 0 citations
Conference Jul 2026

Energy-Sustainable Federated AI Services for Ubiquitous Remote Patient Monitoring in Battery-Constrained IoMT

AI-driven Internet of Medical Things (IoMT) services increasingly rely on federated learning (FL) for privacy-preserving remote patient monitoring; however, existing frameworks often neglect the longitudinal battery sustainability required for persistent clinical care. This paper presents BattFL, an energy-sustainable...

C. A. Nnadiekwe, S. Ajakwe, J. Isong et al. · 0 citations

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