HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud
By M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai. 2019
9 citations recorded by the source corpus.
Subfields: ML Systems & Hardware, Privacy & Security
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In ML Systems & Hardware
- Jianyu Wang
- Martin Jaggi
- Sebastian U. Stich
- Oluwasanmi Koyejo
- Jakub Konecný
- Gauri Joshi
- Medhi Bennis
- Zachary B. Charles
In Privacy & Security
- Peter Kairouz
- Badih Ghazi
- Rasmus Pagh
- Qiang Yang
- Ziteng Sun
- Adrià Gascón
- H. Brendan McMahan
- Aurélien Bellet
Citations in the corpus
- Advances and Open Problems in Federated Learning (2019, background): “Progress here could be made both by algorithmic advances as well as through the development of more efficient hardware accelerators for MPC [337].”