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Robust Learning Based Condition Diagnosis Method for Distribution Network Switchgear
This paper introduces a robust, learning-based method for diagnosing the state of distribution network switchgear, which is crucial for maintaining the power quality for end users.
A Novel Regularization Approach to Fair ML
A number of methods have been introduced for the fair ML issue, most of them complex and many of them very specific to the underlying ML moethodology.
Federated Extra-Trees with Privacy Preserving
It is commonly observed that the data are scattered everywhere and difficult to be centralized.
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