Privacy-preserving record linkage for big data: Current approaches and research challenges
Abstract The growth of Big Data, especially personal data dispersed in multiple data
sources, presents enormous opportunities and insights for businesses to explore and …
sources, presents enormous opportunities and insights for businesses to explore and …
Modern privacy-preserving record linkage techniques: An overview
A Gkoulalas-Divanis, D Vatsalan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Record linkage is the challenging task of deciding which records, coming from disparate
data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area …
data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area …
Advances and open problems in federated learning
Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …
devices or whole organizations) collaboratively train a model under the orchestration of a …
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Consider two data providers, each maintaining private records of different feature sets about
common entities. They aim to learn a linear model jointly in a federated setting, namely, data …
common entities. They aim to learn a linear model jointly in a federated setting, namely, data …
Fedv: Privacy-preserving federated learning over vertically partitioned data
Federated learning (FL) has been proposed to allow collaborative training of machine
learning (ML) models among multiple parties to keep their data private and only model …
learning (ML) models among multiple parties to keep their data private and only model …
Linking sensitive data
Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …
increasing demand to share, integrate, and link such data within and across organisations in …
[HTML][HTML] Privacy-preserving record linkage on large real world datasets
SM Randall, AM Ferrante, JH Boyd, JK Bauer… - Journal of biomedical …, 2014 - Elsevier
Record linkage typically involves the use of dedicated linkage units who are supplied with
personally identifying information to determine individuals from within and across datasets …
personally identifying information to determine individuals from within and across datasets …
[图书][B] Methodological developments in data linkage
K Harron, H Goldstein, C Dibben - 2016 - Wiley Online Library
The increasing availability of large administrative databases for research has led to a
dramatic rise in the use of data linkage. The speed and accuracy of linkage have much …
dramatic rise in the use of data linkage. The speed and accuracy of linkage have much …
Composite bloom filters for secure record linkage
EA Durham, M Kantarcioglu, Y Xue… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
The process of record linkage seeks to integrate instances that correspond to the same
entity. Record linkage has traditionally been performed through the comparison of …
entity. Record linkage has traditionally been performed through the comparison of …
Efficient cryptanalysis of bloom filters for privacy-preserving record linkage
Privacy-preserving record linkage (PPRL) is the process of identifying records that represent
the same entity across databases held by different organizations without revealing any …
the same entity across databases held by different organizations without revealing any …