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Review Open access Oct 2026

Federated Learning Approaches for Anomaly Detection in IoT Environments: A Systematic Literature Review

The rapid proliferation of Internet of Things (IoT) devices is driving significant data generation—and, consequently, a crucial demand for reliable, privacy-centric anomaly detection (AD). Federated Learning (FL) enables collaborative model training without centralizing sensitive data, addressing fundamental constraint...

Anas Harchi, Hicham Toumi, M. Talea · 0 citations
Review Open access Sep 2026

Benchmarking a Modular Deep Learning Pipeline for High-Throughput ASC-Speck Image Classification in Drug Discovery

Inflammasome drug screening using THP-1-ASC-GFP reporter cells produces fluorescence microscopy datasets that are difficult to assess manually in high-throughput screening. A modular four-step pipeline for automated ASC-speck classification in drug discovery is presented. The pipeline includes image acquisition, qualit...

Sifeddine Elkardoudi, Khalil Ladrham, Abdelilah Majdoubi et al. · 0 citations

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