Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2101.09337
Cited By
v1
v2
v3
v4
v5 (latest)
Approximate Byzantine Fault-Tolerance in Distributed Optimization
ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 2021
22 January 2021
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Approximate Byzantine Fault-Tolerance in Distributed Optimization"
33 / 33 papers shown
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
Z. Chen
Su Zhang
Heng Huang
FedML
154
0
0
06 Oct 2025
Byzantine Failures Harm the Generalization of Robust Distributed Learning Algorithms More Than Data Poisoning
Thomas Boudou
B. L. Bars
Nirupam Gupta
A. Bellet
FedML
OOD
AAML
215
0
0
22 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Maximilian Egger
Rawad Bitar
280
0
0
11 Jun 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
305
1
0
24 Apr 2025
Identify Backdoored Model in Federated Learning via Individual Unlearning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jiahao Xu
Zikai Zhang
Rui Hu
FedML
AAML
373
4
0
01 Nov 2024
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
Changxin Liu
Yanghao Li
Yuhao Yi
Karl H. Johansson
FedML
198
0
0
13 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jiahao Xu
Zikai Zhang
Rui Hu
256
12
0
02 Sep 2024
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
250
10
0
16 Aug 2024
LiD-FL: Towards List-Decodable Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Hong Liu
Liren Shan
Han Bao
Ronghui You
Yuhao Yi
Jiancheng Lv
FedML
483
0
0
09 Aug 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
AAML
256
2
0
01 May 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Avi Amalanshu
Yash Sirvi
David I. Inouye
FedML
200
1
0
06 Mar 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
S. Voitovych
FedML
276
13
0
20 Feb 2024
Proximal Byzantine Consensus
Roy Shadmon
Daniel Spencer
Owen Arden
229
0
0
19 Feb 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
Yuhao Yi
R. You
Hong Liu
Changxin Liu
Yuan Wang
Jiancheng Lv
OOD
314
5
0
20 Dec 2023
Byzantine-Resilient Decentralized Multi-Armed Bandits
Jingxuan Zhu
Alec Koppel
Alvaro Velasquez
Ji Liu
388
8
0
11 Oct 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
Neural Information Processing Systems (NeurIPS), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Geovani Rizk
OOD
289
25
0
24 Sep 2023
SABLE: Secure And Byzantine robust LEarning
Antoine Choffrut
R. Guerraoui
Rafael Pinot
Renaud Sirdey
John Stephan
Martin Zuber
AAML
399
2
0
11 Sep 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
International Conference on Machine Learning (ICML), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
219
32
0
09 Feb 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
335
74
0
03 Feb 2023
Impact of Redundancy on Resilience in Distributed Optimization and Learning
International Conference of Distributed Computing and Networking (ICDCN), 2022
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
311
3
0
16 Nov 2022
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
362
37
0
30 Sep 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Yicheng Chen
Rick S. Blum
Brian M. Sadler
FedML
183
4
0
24 Sep 2022
Robust Collaborative Learning with Linear Gradient Overhead
International Conference on Machine Learning (ICML), 2022
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
John Stephan
FedML
194
23
0
22 Sep 2022
Byzantine Fault-Tolerant Min-Max Optimization
Shuo Liu
Nitin H. Vaidya
AAML
350
1
0
30 May 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
International Conference on Machine Learning (ICML), 2022
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
248
89
0
24 May 2022
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation
USENIX Security Symposium (USENIX Security), 2022
Xiaoguang Li
Ninghui Li
Wenhai Sun
Neil Zhenqiang Gong
Hui Li
AAML
415
32
0
24 May 2022
Asynchronous Fully-Decentralized SGD in the Cluster-Based Model
International/Italian Conference on Algorithms and Complexity (IAC), 2022
Hagit Attiya
N. Schiller
FedML
310
1
0
22 Feb 2022
Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
178
1
0
21 Oct 2021
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy
IEEE Transactions on Control of Network Systems (TCNS), 2021
Nirupam Gupta
Thinh T. Doan
Nitin H. Vaidya
FedML
181
14
0
26 Aug 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CE
OOD
228
14
0
16 Jun 2021
Asynchronous Distributed Optimization with Redundancy in Cost Functions
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
269
3
0
07 Jun 2021
Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent
Nirupam Gupta
Nitin H. Vaidya
140
18
0
28 Jan 2021
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)
Nirupam Gupta
Shuo Liu
Nitin H. Vaidya
FedML
323
11
0
11 Aug 2020
1
Page 1 of 1
