Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible

11 June 2017

Papers citing "Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible"

4 / 4 papers shown

Title
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 100 0 0 30 Nov 2024
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 36 456 0 18 Apr 2015
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 104 123 0 02 Dec 2013
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 63 293 0 30 Nov 2009