ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • Events
  • Blog
  • Pricing
  • Feedback
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.10116
  4. Cited By
Generalized Byzantine-tolerant SGD
v1v2v3 (latest)

Generalized Byzantine-tolerant SGD

27 February 2018
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
    AAML
ArXiv (abs)PDFHTML

Papers citing "Generalized Byzantine-tolerant SGD"

33 / 133 papers shown
Title
FAT: Federated Adversarial Training
FAT: Federated Adversarial Training
Giulio Zizzo
Ambrish Rawat
M. Sinn
Beat Buesser
FedML
110
46
0
03 Dec 2020
Garfield: System Support for Byzantine Machine Learning
Garfield: System Support for Byzantine Machine Learning
R. Guerraoui
Arsany Guirguis
El-Mahdi El-Mhamdi
Anton Alexandre Ragot
Sébastien Rouault
FedML
93
2
0
12 Oct 2020
ByzShield: An Efficient and Robust System for Distributed Training
ByzShield: An Efficient and Robust System for Distributed Training
Konstantinos Konstantinidis
A. Ramamoorthy
AAMLFedML
91
12
0
10 Oct 2020
Holdout SGD: Byzantine Tolerant Federated Learning
Holdout SGD: Byzantine Tolerant Federated Learning
Shahar Azulay
Lior Raz
Amir Globerson
Tomer Koren
Y. Afek
FedML
65
6
0
11 Aug 2020
Collaborative Learning in the Jungle (Decentralized, Byzantine,
  Heterogeneous, Asynchronous and Nonconvex Learning)
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Arsany Guirguis
L. Hoang
Sébastien Rouault
FedML
170
76
0
03 Aug 2020
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
ByGARS: Byzantine SGD with Arbitrary Number of Attackers
Jayanth Reddy Regatti
Hao Chen
Abhishek Gupta
FedMLAAML
87
4
0
24 Jun 2020
Backdoor Attacks on Federated Meta-Learning
Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen
L. Golubchik
Marco Paolieri
FedML
87
32
0
12 Jun 2020
Better scalability under potentially heavy-tailed gradients
Matthew J. Holland
87
1
0
01 Jun 2020
Byzantine-Robust Decentralized Stochastic Optimization over Static and
  Time-Varying Networks
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks
Jie Peng
Weiyu Li
Qing Ling
102
19
0
12 May 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost
  Functions
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions
Nirupam Gupta
Nitin H. Vaidya
111
18
0
21 Mar 2020
Distributed Momentum for Byzantine-resilient Learning
Distributed Momentum for Byzantine-resilient Learning
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
FedML
73
22
0
28 Feb 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
165
64
0
25 Feb 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent
Byzantine-resilient Decentralized Stochastic Gradient Descent
Shangwei Guo
Tianwei Zhang
Hanzhou Yu
Xiaofei Xie
Lei Ma
Tao Xiang
Yang Liu
84
54
0
20 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning
Learning to Detect Malicious Clients for Robust Federated Learning
Suyi Li
Yong Cheng
Wei Wang
Yang Liu
Tianjian Chen
AAMLFedML
139
243
0
01 Feb 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
FedMLAAML
149
198
0
29 Dec 2019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box
  Knowledge Transfer
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hong Chang
Virat Shejwalkar
Reza Shokri
Amir Houmansadr
FedML
142
175
0
24 Dec 2019
Fast Machine Learning with Byzantine Workers and Servers
El-Mahdi El-Mhamdi
R. Guerraoui
Arsany Guirguis
121
3
0
18 Nov 2019
Byzantine-Resilient Stochastic Gradient Descent for Distributed
  Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
Haibo Yang
Xin Zhang
Minghong Fang
Jia-Wei Liu
86
45
0
10 Sep 2019
Adversary-resilient Distributed and Decentralized Statistical Inference
  and Machine Learning: An Overview of Recent Advances Under the Byzantine
  Threat Model
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang
Arpita Gang
W. Bajwa
OODAAML
120
17
0
23 Aug 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient
  Aggregation
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput
Hongyi Wang
Zachary B. Charles
Dimitris Papailiopoulos
FedML
182
139
0
29 Jul 2019
Robust Federated Learning in a Heterogeneous Environment
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
OODFedML
155
227
0
16 Jun 2019
Bypassing Backdoor Detection Algorithms in Deep Learning
Bypassing Backdoor Detection Algorithms in Deep Learning
T. Tan
Reza Shokri
FedMLAAML
143
157
0
31 May 2019
Fast and Robust Distributed Learning in High Dimension
Fast and Robust Distributed Learning in High Dimension
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
OODFedML
77
16
0
05 May 2019
Byzantine Fault Tolerant Distributed Linear Regression
Byzantine Fault Tolerant Distributed Linear Regression
Nirupam Gupta
Nitin H. Vaidya
111
24
0
20 Mar 2019
Zeno++: Robust Fully Asynchronous SGD
Zeno++: Robust Fully Asynchronous SGD
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
148
115
0
17 Mar 2019
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of
  Big Data
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
Richeng Jin
Xiaofan He
H. Dai
FedML
180
13
0
27 Feb 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
A Little Is Enough: Circumventing Defenses For Distributed Learning
Moran Baruch
Gilad Baruch
Yoav Goldberg
FedML
83
563
0
16 Feb 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed
  Learning from Heterogeneous Datasets
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Liping Li
Canran Xu
Xiangnan He
Yixin Cao
Tat-Seng Chua
FedML
193
617
0
09 Nov 2018
How To Backdoor Federated Learning
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
271
2,066
0
02 Jul 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed
  Learning
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
FedML
196
101
0
14 Jun 2018
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based
  Fault-tolerance
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
117
47
0
25 May 2018
Byzantine Stochastic Gradient Descent
Byzantine Stochastic Gradient Descent
Dan Alistarh
Zeyuan Allen-Zhu
Haibin Zhang
FedML
122
304
0
23 Mar 2018
ByRDiE: Byzantine-resilient distributed coordinate descent for
  decentralized learning
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang
W. Bajwa
OOD
163
143
0
28 Aug 2017
Previous
123