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In this paper, we propose a dual formulation of this problem and show how adapting database techniques developed for scalable similarity joins provides a significant speedup. 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Journal of sound and vibration, 275(3):463--487, 2004."},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882952"},{"key":"e_1_2_1_28_1","volume-title":"M\u00e9canique analytique","author":"Lagrange J. L.","year":"1853","unstructured":"J. L. Lagrange . M\u00e9canique analytique , volume 1 . Mallet-Bachelier , 1853 . J. L. Lagrange. M\u00e9canique analytique, volume 1. Mallet-Bachelier, 1853."},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150479"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1081870.1081893"},{"key":"e_1_2_1_31_1","volume-title":"Technical report","author":"McMahan B.","year":"2017","unstructured":"B. McMahan and D. Ramage . Federated learning: Collaborative machine learning without centralized training data. Technical report , Technical report , Google , 2017 . B. McMahan and D. Ramage. Federated learning: Collaborative machine learning without centralized training data. 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