SwarmSense-DNN is a proposed decentralized neural framework that integrates swarm intelligence with hierarchical federated learning and graph neural networks to achieve 95.44% anomaly detection accuracy and 67% reduced communication overhead on five benchmark datasets while adding differential priva
Sider: Semantic identity decoupling for unrestricted face privacy.arXiv preprint arXiv:2602.04994, 2026
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SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT
SwarmSense-DNN is a proposed decentralized neural framework that integrates swarm intelligence with hierarchical federated learning and graph neural networks to achieve 95.44% anomaly detection accuracy and 67% reduced communication overhead on five benchmark datasets while adding differential priva