How the GDPR Will Change the World

By J. Albrecht. 2016

321 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Safety Research, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Tianjian Chen
2. Qiang Yang
3. Yuanming Shi
4. Tao Fan
5. Kewei Cheng
6. Yang Liu
7. Yilun Jin

In Safety Research

1. Tianjian Chen
2. Qiang Yang
3. Tao Fan
4. Kewei Cheng
5. Yang Liu
6. Yilun Jin

In Sociology and Political Science

1. Tianjian Chen
2. Chau Yuen
3. Qiang Yang
4. Tao Fan
5. Yuren Zhou
6. Meng Zhang
7. Billy Pik Lik Lau
8. Kewei Cheng

Citations in the corpus

• SecureBoost: A Lossless Federated Learning Framework (2019, methodology): “The GDPR is designed to give users more control over their personal data (Regulation 2016; Albrecht 2016; Mayer-Schonberger and Padova 2015; Goodman and Flaxman 2016).”
• A survey of data fusion in smart city applications (2019, background): “Currently in Europe, General Data Protection Regulation (GDPR) as dis-PUBLISHED cussed in [239], [240] has been proposed to better address the data privacy concern of the Internet.”
• A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression (2019, background): “A known example is the General Data Protection Regulation (GDPR) by the European Union [2].”