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Mistake Severity in Deep Classification
Not all misclassifications are equally bad. A review of two papers that rethink the training objective and evaluation metric to account for the semantic — an...
Introduction to Federated Learning
A decentralized ML paradigm where clients collaboratively train a model without sharing private data.