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1409.5937
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Distributed Robust Learning
21 September 2014
Jiashi Feng
Huan Xu
Shie Mannor
OOD
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Papers citing
"Distributed Robust Learning"
38 / 38 papers shown
One-shot Robust Federated Learning of Independent Component Analysis
Dian Jin
Xin Bing
Yuqian Zhang
FedML
414
0
0
26 May 2025
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
Anna Van Elst
Igor Colin
Nathan Huet
543
2
0
23 May 2025
Bant: Byzantine Antidote via Trial Function and Trust Scores
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
802
1
0
12 May 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2025
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
461
3
0
02 Apr 2025
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
Успехи математических наук (Uspekhi Mat. Nauk.), 2024
Dmitry Bylinkin
Kirill Degtyarev
Aleksandr Beznosikov
FedML
277
0
0
22 Sep 2024
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
318
12
0
16 Aug 2024
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
397
0
0
19 Jul 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
AAML
329
3
0
01 May 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
International Conference on Machine Learning (ICML), 2024
Ron Dorfman
Naseem Yehya
Kfir Y. Levy
332
5
0
05 Feb 2024
Robust and Actively Secure Serverless Collaborative Learning
Neural Information Processing Systems (NeurIPS), 2023
Olive Franzese
Adam Dziedzic
Christopher A. Choquette-Choo
Mark R. Thomas
Muhammad Ahmad Kaleem
Stephan Rabanser
Cong Fang
Somesh Jha
Nicolas Papernot
Xiao Wang
OOD
262
5
0
25 Oct 2023
Byzantine-robust distributed one-step estimation
Journal of Computational And Graphical Statistics (JCGS), 2023
Chuhan Wang
Xuehu Zhu
Lixing Zhu
OOD
233
0
0
15 Jul 2023
Federated Learning in the Presence of Adversarial Client Unavailability
Lili Su
Ming Xiang
Jiaming Xu
Pengkun Yang
FedML
AAML
215
4
0
31 May 2023
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
391
13
0
19 Dec 2021
Efficient Byzantine-Resilient Stochastic Gradient Desce
Kaiyun Li
Xiaojun Chen
Ye Dong
Peng Zhang
Dakui Wang
Shuai Zeng
192
0
0
15 Aug 2021
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
Anish Acharya
Abolfazl Hashemi
Prateek Jain
Sujay Sanghavi
Inderjit S. Dhillon
Ufuk Topcu
195
36
0
16 Jun 2021
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience
Avishek Ghosh
R. Maity
A. Mazumdar
Kannan Ramchandran
FedML
458
4
0
17 Mar 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
Journal of machine learning research (JMLR), 2021
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Xi Chen
188
28
0
04 Mar 2021
Approximate Byzantine Fault-Tolerance in Distributed Optimization
ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 2021
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
610
48
0
22 Jan 2021
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
International Conference on Learning Representations (ICLR), 2020
Zeyuan Allen-Zhu
Faeze Ebrahimian
Haibin Zhang
Dan Alistarh
FedML
327
90
0
28 Dec 2020
Learning from History for Byzantine Robust Optimization
International Conference on Machine Learning (ICML), 2020
Sai Praneeth Karimireddy
Lie He
Martin Jaggi
FedML
AAML
550
244
0
18 Dec 2020
Communication-efficient distributed eigenspace estimation
SIAM Journal on Mathematics of Data Science (SIMODS), 2020
Vasileios Charisopoulos
Austin R. Benson
Anil Damle
313
12
0
05 Sep 2020
Holdout SGD: Byzantine Tolerant Federated Learning
Shahar Azulay
Lior Raz
Amir Globerson
Tomer Koren
Y. Afek
FedML
237
7
0
11 Aug 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh
R. Maity
A. Mazumdar
FedML
236
38
0
15 Jun 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning
International Conference on Machine Learning (ICML), 2020
Nikola Konstantinov
Elias Frantar
Dan Alistarh
Christoph H. Lampert
335
18
0
24 Feb 2020
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Zhaoxian Wu
Qing Ling
Tianyi Chen
G. Giannakis
FedML
AAML
260
228
0
29 Dec 2019
Attack-Resistant Federated Learning with Residual-based Reweighting
Shuhao Fu
Chulin Xie
Yue Liu
Qifeng Chen
FedML
AAML
373
104
0
24 Dec 2019
Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Avishek Ghosh
R. Maity
S. Kadhe
A. Mazumdar
Kannan Ramchandran
FedML
371
32
0
21 Nov 2019
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
OOD
FedML
353
254
0
16 Jun 2019
Zeno++: Robust Fully Asynchronous SGD
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
520
134
0
17 Mar 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
AAML
286
337
0
10 Mar 2019
Robust Learning from Untrusted Sources
International Conference on Machine Learning (ICML), 2019
Nikola Konstantinov
Christoph H. Lampert
FedML
OOD
354
76
0
29 Jan 2019
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
FedML
569
104
0
14 Jun 2018
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
FedML
293
48
0
25 May 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning
Lili Su
Jiaming Xu
FedML
417
36
0
26 Apr 2018
Byzantine Stochastic Gradient Descent
Dan Alistarh
Zeyuan Allen-Zhu
Haibin Zhang
FedML
272
320
0
23 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin
Yudong Chen
Kannan Ramchandran
Peter L. Bartlett
OOD
FedML
795
2,095
0
05 Mar 2018
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen
Lili Su
Jiaming Xu
FedML
319
283
0
16 May 2017
On the Optimality of Averaging in Distributed Statistical Learning
Jonathan D. Rosenblatt
B. Nadler
FedML
429
120
0
10 Jul 2014
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