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SAGDA: AchievingO(2)Communication ComplexityinFederatedMin-MaxLearning

Neural Information Processing Systems

Compared with conventional minimization problems (e.g., empirical risk minimization), min-max optimization has aricher mathematical structure, thus being able tomodel more sophisticated learning problems thatemergefrom ever-emerging applications.



LearningPhysicalConstraintswith NeuralProjections

Neural Information Processing Systems

How does a human being distinguish the motions of a piece of paper and a piece of cloth? A high-school physics teacher might answer that they are both tangentially inextensible but cloth cannot resist any bending force from the normal direction.