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The OARF Benchmark Suite: Characterization and Implications for
  Federated Learning Systems

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems

14 June 2020
Sixu Hu
Yuan N. Li
Xu Liu
Yue Liu
Zhaomin Wu
Bingsheng He
    FedML
ArXivPDFHTML

Papers citing "The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems"

12 / 62 papers shown
Title
Renyi Differential Privacy
Renyi Differential Privacy
Ilya Mironov
77
1,256
0
24 Feb 2017
FMA: A Dataset For Music Analysis
FMA: A Dataset For Music Analysis
M. Defferrard
Kirell Benzi
P. Vandergheynst
Xavier Bresson
102
440
0
06 Dec 2016
Practical Secure Aggregation for Federated Learning on User-Held Data
Practical Secure Aggregation for Federated Learning on User-Held Data
Keith Bonawitz
Vladimir Ivanov
Ben Kreuter
Antonio Marcedone
H. B. McMahan
Sarvar Patel
Daniel Ramage
Aaron Segal
Karn Seth
FedML
71
501
0
14 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
230
4,120
0
18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device
  Intelligence
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
126
1,895
0
08 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
191
6,109
0
01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
Mark Bun
Thomas Steinke
84
831
0
06 May 2016
Joint Face Detection and Alignment using Multi-task Cascaded
  Convolutional Networks
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
170
4,960
0
11 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
High Performance Offline Handwritten Chinese Character Recognition Using
  GoogLeNet and Directional Feature Maps
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong
Lianwen Jin
Zecheng Xie
51
290
0
19 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,330
0
04 Sep 2014
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