Multi-hop Federated Private Data Augmentation with Sample Compression

15 July 2019

Papers citing "Multi-hop Federated Private Data Augmentation with Sample Compression"

7 / 7 papers shown

Title
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation Yun-Wei Chu Dong-Jun Han Christopher G. Brinton 26 4 0 15 Jan 2024
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 17 90 0 04 Nov 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 25 161 0 06 Aug 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 17 108 0 09 Jun 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad C. Hong M. Shikh-Bahaei 11 680 0 06 Nov 2019
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network Chaoyun Zhang Xi Ouyang P. Patras 30 68 0 07 Nov 2017
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 158 175 0 04 Nov 2016