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Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach.
Yi Liu
Sahil Garg
Jiangtian Nie
Yang Zhang
Zehui Xiong
Jiawen Kang
M. Shamim Hossain
Published in:
CoRR (2020)
Keyphrases
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anomaly detection
connectionist systems
intrusion detection
unsupervised learning
network intrusion detection
learning algorithm
learning process
supervised learning
network traffic
detect anomalies
detecting anomalies
unsupervised anomaly detection
anomalous behavior
computer security
behavior analysis
network security
active learning
pattern recognition
network anomaly detection
negative selection algorithm
cumulative sum