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signSGD with Majority Vote is Communication Efficient And Fault Tolerant

signSGD with Majority Vote is Communication Efficient And Fault Tolerant

11 October 2018
Jeremy Bernstein
Jiawei Zhao
Kamyar Azizzadenesheli
Anima Anandkumar
    FedML
ArXivPDFHTML

Papers citing "signSGD with Majority Vote is Communication Efficient And Fault Tolerant"

10 / 10 papers shown
Title
Breaking the Communication-Privacy-Accuracy Tradeoff with
  $f$-Differential Privacy
Breaking the Communication-Privacy-Accuracy Tradeoff with fff-Differential Privacy
Richeng Jin
Z. Su
C. Zhong
Zhaoyang Zhang
Tony Q.S. Quek
H. Dai
FedML
29
2
0
19 Feb 2023
Privacy Assessment of Federated Learning using Private Personalized
  Layers
Privacy Assessment of Federated Learning using Private Personalized Layers
T. Jourdan
A. Boutet
Carole Frindel
FedML
47
7
0
15 Jun 2021
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness
Lingjuan Lyu
FedML
AAML
27
19
0
11 May 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's
  Convergence Speed
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang
Shaoduo Gan
A. A. Awan
Samyam Rajbhandari
Conglong Li
Xiangru Lian
Ji Liu
Ce Zhang
Yuxiong He
AI4CE
45
84
0
04 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for
  Data and Parameters
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
34
0
0
26 Aug 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost
  Functions
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions
Nirupam Gupta
Nitin H. Vaidya
30
18
0
21 Mar 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
22
63
0
25 Feb 2020
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
24
1,331
0
07 Mar 2019
Sparse Binary Compression: Towards Distributed Deep Learning with
  minimal Communication
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
24
211
0
22 May 2018
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