Abstract: In some real-world applications, data samples are usually distributed on local devices, where federated learning (FL) techniques are proposed to coordinate decentralized clients without ...
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The issue report classification competition consists of building and testing a set of multi-class classification models to classify issue reports as belonging to one category representing the type of ...
Abstract: Non-exemplar class-incremental learning (NECIL) requires deep models to maintain existing knowledge while continuously learning new classes without saving old class samples. In NECIL methods ...
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