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Defending Against Saddle Point Attack in Byzantine-Robust Distributed
  Learning

Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning

14 June 2018
Dong Yin
Yudong Chen
K. Ramchandran
Peter L. Bartlett
    FedML
ArXivPDFHTML

Papers citing "Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning"

13 / 13 papers shown
Title
Byzantine-tolerant distributed learning of finite mixture models
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
FedML
37
0
0
19 Jul 2024
Can Decentralized Learning be more robust than Federated Learning?
Can Decentralized Learning be more robust than Federated Learning?
Mathilde Raynal
Dario Pasquini
Carmela Troncoso
OOD
FedML
38
4
0
07 Mar 2023
An Improved Algorithm for Clustered Federated Learning
An Improved Algorithm for Clustered Federated Learning
Harsh Vardhan
A. Ghosh
A. Mazumdar
FedML
26
8
0
20 Oct 2022
A simplified convergence theory for Byzantine resilient stochastic
  gradient descent
A simplified convergence theory for Byzantine resilient stochastic gradient descent
Lindon Roberts
E. Smyth
15
3
0
25 Aug 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
93
30
0
24 May 2022
Over-The-Air Federated Learning under Byzantine Attacks
Over-The-Air Federated Learning under Byzantine Attacks
Houssem Sifaou
Geoffrey Ye Li
OOD
FedML
25
7
0
05 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey
Djamila Bouhata
Hamouma Moumen
Moumen Hamouma
Ahcène Bounceur
AI4CE
23
7
0
05 May 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
173
411
0
14 Jul 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine
  Learning
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CE
OOD
29
13
0
16 Jun 2021
ByzShield: An Efficient and Robust System for Distributed Training
ByzShield: An Efficient and Robust System for Distributed Training
Konstantinos Konstantinidis
A. Ramamoorthy
AAML
FedML
4
11
0
10 Oct 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness
  to Byzantine Attacks
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Zhaoxian Wu
Qing Ling
Tianyi Chen
G. Giannakis
FedML
AAML
14
181
0
29 Dec 2019
Securing Distributed Gradient Descent in High Dimensional Statistical
  Learning
Securing Distributed Gradient Descent in High Dimensional Statistical Learning
Lili Su
Jiaming Xu
FedML
137
35
0
26 Apr 2018
First-order Methods Almost Always Avoid Saddle Points
First-order Methods Almost Always Avoid Saddle Points
J. Lee
Ioannis Panageas
Georgios Piliouras
Max Simchowitz
Michael I. Jordan
Benjamin Recht
ODL
85
82
0
20 Oct 2017
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