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Two-stage Federated Phenotyping and Patient Representation Learning., , and . BioNLP@ACL, page 283-291. Association for Computational Linguistics, (2019)Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization., , , , , , and . CoRR, (2022)Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records., and . CoRR, (2019)Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden., , and . CoRR, (2018)Movies Network as the Indicator of Globalization., , and . CoRR, (2018)Genie: A Secure, Transparent Sharing and Services Platform for Genetic and Health Data., , , , , , , , , and 2 other author(s). CoRR, (2018)FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record., , , and . CoRR, (2018)Balance of thrones: a network study on 'Game of Thrones'., and . CoRR, (2017)Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records., , , , , and . Journal of Biomedical Informatics, (2019)DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain., , , and . AffComp@IJCAI, volume 66 of Proceedings of Machine Learning Research, page 1-16. PMLR, (2017)