Distilled One-Shot Federated Learning
Authors: Yanlin Zhou, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu | Published: 2020-09-17 | Updated: 2021-06-06
Distributed Learning
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Authors: Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-09-14
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
Authors: Pulkit Sharma, Farah E Shamout, David A Clifton | Published: 2019-12-01
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography
Authors: Maksim Tsikhanovich, Malik Magdon-Ismail, Muhammad Ishaq, Vassilis Zikas | Published: 2019-01-23 | Updated: 2019-04-10
Chiron: Privacy-preserving Machine Learning as a Service
Authors: Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, Emmett Witchel | Published: 2018-03-15
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Authors: Yudong Chen, Lili Su, Jiaming Xu | Published: 2017-05-16 | Updated: 2017-10-23