Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

29 November 2017

Papers citing "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"

9 / 9 papers shown

Title
FederBoost: Private Federated Learning for GBDT Zhihua Tian Rui Zhang Xiaoyang Hou Jian Liu K. Ren Jian Liu Kui Ren FedML AI4CE 91 68 0 05 Nov 2020
Encrypted accelerated least squares regression P. Esperança L. Aslett Chris C. Holmes 44 17 0 02 Mar 2017
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers Wei Xie Yang Wang S. Boker Donald E. Brown 40 25 0 03 Nov 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 128 1,897 0 08 Oct 2016
Fast Learning from Distributed Datasets without Entity Matching Giorgio Patrini Richard Nock Stephen Hardy Tibério S. Caetano 34 12 0 13 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 394 17,468 0 17 Feb 2016
Loss factorization, weakly supervised learning and label noise robustness Giorgio Patrini Frank Nielsen Richard Nock M. Carioni NoLa 152 113 0 08 Feb 2016
Rademacher Observations, Private Data, and Boosting Richard Nock Giorgio Patrini Arik Friedman 37 13 0 09 Feb 2015
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 316 1,246 0 10 Sep 2013