A federated semi-supervised intrusion detection framework that trains robot-client encoders with contrastive learning and blends them on a server via EMA claims top accuracy on NSL-KDD.
Internet of things applications, security challenges, attacks, intrusion detection, and future visions: A system- atic review,
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A Contrastive Federated Semi-Supervised Learning Intrusion Detection Framework for Internet of Robotic Things
A federated semi-supervised intrusion detection framework that trains robot-client encoders with contrastive learning and blends them on a server via EMA claims top accuracy on NSL-KDD.