Kernel Normalized Convolutional Networks for Privacy-Preserving Machine
Learning

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning

30 September 2022

Reza Nasirigerdeh

Javad Torkzadehmahani

Daniel Rueckert

Georgios Kaissis

Papers citing "Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning"

5 / 5 papers shown

Title
Not all noise is accounted equally: How differentially private learning benefits from large sampling rates Friedrich Dörmann Osvald Frisk L. Andersen Christian Fischer Pedersen FedML 54 25 0 12 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 144 349 0 25 Sep 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 113 100 0 12 Feb 2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 31 36 0 26 Aug 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016