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Author

F. Philip-Kpae

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Conference Open access 2026

A Lightweight Edge AI Framework for Secure and Scalable IoT Systems

A lightweight edge AI framework that employs federated learning, enabling model training across distributed Internet of People and Things (IoP) devices without transferring raw data to centralised servers is proposed, enabling responsive, privacy-preserving, and resilient edge AI operations in distributed environments.

F. Philip-Kpae, A. Imoize, Lloyd Endurance Ogbondamati et al. · 0 citations
Conference Open access 2026

Mitigating Security Challenges in 5G Wireless Networks

An AI-assisted, cross-layer security orchestration framework that integrates epoch-wise telemetry with ML-based risk estimation and formalizes mitigation as a Constrained Markov Decision Process (CMDP), and empirical evidence that adaptive mitigation can reduce security risk without sacrificing service guarantees is provided.

F. Philip-Kpae, A. Imoize, K. C. Okafor et al. · 0 citations