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.
Automatic robot manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (iort),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.