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发表于 2025-4-1 02:22:22
,Privacy Preserving of Two Local Data Sites Using Global Random Forest Classification,l random forest classifier. The process has two phases from local random forest to global random forest. The aim was to build a final global random forest by aggregating local random forests of local or individual parties based on voting between parties. In this work there are two proposed algorithm
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发表于 2025-4-1 07:02:04
,Privacy Preserving and Secured Clustering of Distributed Data Using Self Organizing Map, model. Adopting neural network learning for privacy preserving of data has became very much promising approach. In this paper we adopt self organizing map (SOM) neural network trained in order to preserve the privacy of data of two different parties, in combined environment to perform combined clus
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发表于 2025-4-1 12:44:30
,Practical Phase Shift Model for RIS-Assisted D2D Communication Systems,tem, and this is often being ignored in many existing works. We proposed a phase shift optimization using local search technique upon the aforementioned practical model. Simulation results show that the RIS-assisted D2D networks proof to be effective by maximizing the sum rate of the system.