FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

30 May 2022

Papers citing "FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation"

10 / 60 papers shown

Title
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 134 2,547 0 02 Jun 2018
Generalizing Across Domains via Cross-Gradient Training Shiv Shankar Vihari Piratla Soumen Chakrabarti S. Chaudhuri Preethi Jyothi Sunita Sarawagi OOD 41 511 0 28 Apr 2018
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 38 271 0 19 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 94 1,427 0 09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 97 2,023 0 22 Jun 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 159 2,543 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 229 17,235 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 279 43,154 0 11 Feb 2015
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 211 5,972 0 26 Sep 2014