GitVibes daily briefing · 2026-10-01 · science
Anomaly detection of internet of medical things cyberattacks using federated learning
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Perspective
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Source summary
Devices connected to the Internet of Medical Things (IoMT) handle sensitive patient data under strict privacy and resource constraints. Centralized intrusion detection introduces privacy risks and communication bottlenecks, while existing Federated Learning (FL) solutions struggle with class imbalance and data heterogeneity. This paper proposes One-Shot…
Original reporting: Scientific Reports · Published 2026-09-30