Mar 21, 2021 · The Multi-Scheme privacy-preserving DNN scheme is capable of aggregating data provider's datasets, preserving the privacy of the confidential ...
Mar 21, 2021 · Human activity recognition (HAR) generates a massive amount of the dataset from the Internet of Things (IoT) devices, to enable multiple ...
This work presents a privacy-preserving DNN model known as Multi-Scheme Differential Privacy (MSDP) depending on the fusion of Secure Multi-party ...
RETRACTED ARTICLE: Healthcare framework for identification of strokes based on versatile distributed computing and machine learning · Design and Implementation ...
Abstract: Human activity recognition (HAR) generates a massive amount of the dataset from the Internet of Things (IoT) devices, to enable multiple data ...
Mar 21, 2021 · With the migration of a deep neural network (DNN) in the learning experience in HAR, we present a privacy-preserving DNN model known as Multi- ...
Human activity recognition (HAR) generates a massive amount of the dataset from the Internet of Things (IoT) devices, to enable multiple data providers to ...
Human activity recognition (HAR) generates a massive amount of the dataset from the Internet of Things (IoT) devices, to enable multiple data providers to ...
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Jul 15, 2022 · 28 proposed a cluster- based approach to the K-anonymity algorithm to reduce the computation complexity of the several K-anonymity algorithms.
Differential privacy (DP) is one of the main approaches proven to ensure strong privacy protection in data analysis. DP protects the users' privacy by adding ...