Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search

18 April 2020

Papers citing "Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search"

8 / 8 papers shown

Title
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation Chaoyang He Haishan Ye Li Shen Tong Zhang 41 129 0 27 Mar 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 94 6,177 0 10 Dec 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks Chaoyang He Conghui Tan Hanlin Tang Shuang Qiu Ji Liu FedML 33 74 0 11 Oct 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 72 2,652 0 04 Feb 2019
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 149 4,326 0 24 Jun 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 571 36,599 0 25 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 200 17,235 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015