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Aug 2026

Federated Anomaly Detection for IoMT Networks: Privacy‐Preserving Design, Lightweight Implementation, and Runtime Evaluation

The rapid integration of Internet of Things (IoT) in the healthcare domain has led to the emergence of the Internet of Medical Things (IoMT), which introduces significant benefits in patient monitoring and real‐time medical services. However, IoMT networks are inherently vulnerable due to resource constraints, heteroge...

Mahdi Ajdani, M. Asmani, A. A. Laghari · 0 citations
Aug 2026

FedSE-1DSqueezeNet: a lightweight federated intrusion detection system for Internet of Things

FedSE-1DSqueezeNet is proposed, a lightweight federated IDS tailored for resource-constrained IoT environments, designed to optimize feature extraction efficiency under strict resource constraints and achieves detection accuracy exceeding that of state-of-the-art models.

Qi Zhou, Xuechun Mao, Ying Chen · 0 citations
Open access 2021

Scalable Data Engineering Architectures for Federated Learning in Decentralized Cloud Environments

This paper presents a comprehensive architectural framework for scalable data engineering tailored for FL in heterogeneous and resource-constrained environments and proposes a modular architecture that addresses data heterogeneity, scalability, and compliance.

Laura Conti, Andrew Collins · 0 citations
Review Open access Jul 2026

Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring

Results indicate that a federated TinyML architecture with lightweight patient-state tracking, validation-based ensemble filtering, differential privacy, and post-quantum-secure communication can support privacy-aware and attack-resilient ICU monitoring experiments in resource-constrained IoMT settings.

Umar Hayat Khan, Rahim Khan, Tahani Alsaedi et al. · 0 citations

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