For generations, Indian students have learnt it simply as the Pythagoras Theorem. In a quiet but significant shift, the Class ...
Abstract: Federated Learning (FL) is to collaboratively train a global model among distributed clients by iteratively aggregating their local updates without sharing their raw data, whereby the global ...
Abstract: Multi-label learning deals with training examples each represented by a single instance while associated with multiple class labels. Due to the exponential number of possible label sets to ...
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