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Prediction of mobile app privacy preferences with user profiles via federated learning
Permission managers in mobile devices allow users to control permissions requests, by
granting of denying application's access to data and sensors. However, existing managers …
granting of denying application's access to data and sensors. However, existing managers …
Greedy centroid initialization for federated K-means
We study learning from unlabeled data distributed across clients in a federated fashion
where raw data do not leave the corresponding devices. We develop a K-means clustering …
where raw data do not leave the corresponding devices. We develop a K-means clustering …
[PDF][PDF] A Federated K-Means-Based Approach in eHealth Domains with Heterogeneous Data Distributions
Healthcare organizations collect and store significant amounts of patient health information.
However, sharing or accessing this information outside of their facilities is often hindered by …
However, sharing or accessing this information outside of their facilities is often hindered by …
Automated Privacy Protection For Mobile Devices
RSC Mendes - 2022 - search.proquest.com
The pervasiveness of smart devices and the always connected paradigm has fostered
applications that benefit from sensing the environment to provide contextualized services to …
applications that benefit from sensing the environment to provide contextualized services to …