Rethinking Obscured Sub-optimality in Analytic Learning for Exemplar-Free Class-Incremental Learning
Abstract: Exemplar-free Class-Incremental Learning (EFCIL) poses a significant challenge in mitigating catastrophic forgetting, due to the absence of exemplars. Recently, analytic learning-based ...
Abstract: Federated Learning (FL), as a distributed machine learning approach, makes it possible to realize global training and knowledge sharing of models while protecting data privacy. However, ...
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