Titlebook: Decision Making and Security Risk Management for IoT Environments; Wadii Boulila,Jawad Ahmad,Imed Riadh Farah Book 2024 The Editor(s) (if

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https://doi.org/10.1007/978-3-031-10684-2ll as natural. In existence of multicollinearity and identification issues, ordinary least square is unable to successfully model the bond between response variable and explanatory variables. PLS is considered as a better solution to this situation. The multivariate procedure known as PLS was succes

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Jeroen Weener,Florian Hahn,Andreas Peterderated model. The optimum accuracy achieved was 0.86 by the non-federated model and 0.847 by the client 3 of the federated model with perturbation Moreover, a federated approach with extra data privacy and security experienced a slight performance loss but is still a competitive model in comparison

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