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Generalizable and Interpretable Deep Learning for Network Congestion Prediction.
Konstantinos Poularakis
Qiaofeng Qin
Franck Le
Sastry Kompella
Leandros Tassiulas
Published in:
ICNP (2021)
Keyphrases
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deep learning
network congestion
unsupervised learning
machine learning
packet loss
network bandwidth
network resources
application layer
intermediate nodes
active learning
dimensionality reduction
mental models