Private Information Retrieval with Sublinear Online Time

By Henry Corrigan-Gibbs, Dmitry Kogan. 2020

149 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Privacy & Security, Information Theory

How researchers see this paper

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

In Artificial Intelligence

1. Martin Jaggi
2. Qiang Yang
3. Jakub Konecný
4. Peter Kairouz
5. Peter Richtárik
6. Ananda Theertha Suresh
7. Jianyu Wang
8. Sebastian U. Stich

In Computational Theory and Mathematics

1. Sebastian U. Stich
2. Adrià Gascón
3. Jakub Konecný
4. H. Brendan McMahan
5. Martin Jaggi
6. Daniel Ramage
7. Ananda Theertha Suresh
8. Badih Ghazi

In Privacy & Security

1. Peter Kairouz
2. Badih Ghazi
3. Rasmus Pagh
4. Qiang Yang
5. Ziteng Sun
6. Adrià Gascón
7. H. Brendan McMahan
8. Aurélien Bellet

In Information Theory

1. Badih Ghazi
2. Ziteng Sun
3. H. Brendan McMahan
4. Ananda Theertha Suresh
5. Rasmus Pagh
6. Rafael G. L. D'Oliveira
7. Prateek Mittal
8. Qiang Yang

Citations in the corpus

• Advances and Open Problems in Federated Learning (2019, background): “Corrigan-Gibbs and Kogan [114] present protocols for PIR with sublinear online time by working in an offline/online model where, during an offline phase, clients fetch information from the server(s) independent on the future query to be performed.”