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Privacy preserving n-party scalar product protocol.

, , , и . CoRR, (2021)

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Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent., , , , и . CoRR, (2019)VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values., , , и . CoRR, (2022)Federated Bayesian Network Ensembles., , , и . CoRR, (2024)A systematic review on privacy-preserving distributed data mining., , , , и . Data Sci., 4 (2): 121-150 (2021)Analyzing Partitioned FAIR Health Data Responsibly., , , , , , , , , и 4 other автор(ы). CoRR, (2018)Privacy preserving n-party scalar product protocol., , , и . CoRR, (2021)A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario., , , , , , , , , и 4 other автор(ы). MedInfo, том 264 из Studies in Health Technology and Informatics, стр. 373-377. IOS Press, (2019)Online estimation of individual-level effects using streaming shrinkage factors., , и . Comput. Stat. Data Anal., (2019)Estimating random-intercept models on data streams., , и . Comput. Stat. Data Anal., (2016)Privacy Preserving $n$n-Party Scalar Product Protocol., , , и . IEEE Trans. Parallel Distributed Syst., 34 (4): 1060-1066 (апреля 2023)