Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation

20 October 2020

Papers citing "Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation"

6 / 6 papers shown

Title
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 217 1,196 0 24 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 223 2,380 0 11 Nov 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 75 845 0 08 Oct 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 57 2,302 0 13 Feb 2019
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 50 778 0 02 Oct 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 146 5,577 0 21 Jul 2017