Regression on Distributed Databases via Secure Multi-Party Computation

By Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter. 2004

16 citations recorded by the source corpus.

How researchers see this paper

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

1. Adrià Gascón
2. Phillipp Schoppmann
3. David E. Evans
4. Borja Balle
5. Mariana Raykova
6. Samee Zahur
7. Jack Doerner
8. Peter Kairouz

Citations in the corpus

• Privacy-Preserving Distributed Linear Regression on High-Dimensional Data (2017, background): “Questions of privacy-preserving data mining and private computation of machine learning algorithms have been considered in several works [19, 40, 48, 71], providing theoretical protocols without implementations or practical evaluations of their efficiency.”
• Secure Linear Regression on Vertically Partitioned Datasets (2016, background): “Questions of privacy preserving data mining and private computation of machine learning algorithms including linear regression have been considered in several works [12, 14, 23, 27, 38, 41] which offer theoretical protocols without implementation and practical evaluations of their efficiency.”