Titlebook: Blockchain: Empowering Secure Data Sharing; Meng Shen,Liehuang Zhu,Ke Xu Book 2020 The Editor(s) (if applicable) and The Author(s), under

ENNUI

Semisimple Lie Groups and Algebras,pical ML model, Support Vector Machine (SVM) supports efficient data classification, which is applied in many application of real world, such as disease diagnosis and anomaly detection. Training SVM classifiers usually requires to collect labeled IoT data from multiple entities, which leads to data

防御

Semisimple Lie Groups and Algebras,llected by them differ greatly in attributes. These heterogeneous datasets form a complementary relationship with each other, so data sharing between organizations is necessary. Machine learning (ML) methods are widely used in big data processing, thus it is necessary to train machine learning model

繼承人

https://doi.org/10.1007/978-0-387-28929-8l images can help diagnose the condition and improve treatment timeliness. However, medical images contain a large amount of sensitive patient information, which can easily cause privacy leakage. At the same time, existing research cannot protect the sensitive information of medical images or achiev

Osteons

杠桿

Meng Shen,Liehuang Zhu,Ke XuPresents a blockchain-based solution for secure data sharing, including the architecture, data repository, data retrieval, and the data analysis aspects.Explores secure data sharing in depth, includin

grandiose

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流動性