L G ] 1 1 A pr 2 01 7 Federated Tensor Factorization for Computational Phenotyping

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Federated Tensor Factorization for Computational Phenotyping (2017, background): “Let ( x ∗ , z ∗ , y ∗ ) be a saddle point, and define V t decreases in each iteration (proof in [17]) because Adding the inequality (17 which implies r t → 0 and z t → z t + 1 as t → ∞ .”