Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.10333
Cited By
v1
v2
v3 (latest)
Learning from History for Byzantine Robust Optimization
International Conference on Machine Learning (ICML), 2020
18 December 2020
Sai Praneeth Karimireddy
Lie He
Martin Jaggi
FedML
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Github (23★)
Papers citing
"Learning from History for Byzantine Robust Optimization"
50 / 128 papers shown
Adaptive Decentralized Federated Learning for Robust Optimization
Shuyuan Wu
Feifei Wang
Y. Gao
Rui Wang
Hansheng Wang
142
0
0
02 Dec 2025
DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
Julien Vignoud
Valérian Rousset
Hugo El Guedj
Ignacio Aleman
Walid Bennaceur
...
Olena Zavertiaieva
Sai Praneeth Karimireddy
Tahseen Rabbani
Mary-Anne Hartley
Martin Jaggi
107
0
0
24 Nov 2025
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
Md Akil Raihan Iftee
Syed Md. Ahnaf Hasan
Amin Ahsan Ali
A. Rahman
Sajib Mistry
Aneesh Krishna
AAML
FedML
SILM
TTA
373
0
0
24 Nov 2025
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy
Z. Huang
Di Wu
Jun Bai
Jiale Zhang
Sicong Cao
J. Zhang
Yingjie Hu
MU
202
0
0
08 Oct 2025
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
Z. Chen
Su Zhang
Heng Huang
FedML
189
0
0
06 Oct 2025
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
Shiyuan Zuo
Rongfei Fan
Cheng Zhan
Jie Xu
P. Zhao
Han Hu
AAML
161
0
0
29 Sep 2025
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
Sena Ergisi
Luis Maßny
Rawad Bitar
AAML
FedML
158
1
0
11 Sep 2025
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
Kaoru Otsuka
Yuki Takezawa
Makoto Yamada
FedML
262
1
0
03 Sep 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
257
0
0
22 Jun 2025
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
Maximilian Egger
Rawad Bitar
315
0
0
11 Jun 2025
ByzFL: Research Framework for Robust Federated Learning
Marc González
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taïani
FedML
204
1
0
30 May 2025
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
IEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Hui Ma
Kai Yang
Yang Jiao
OOD
477
9
0
25 May 2025
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
Kun Yang
Neena Imam
285
3
0
22 May 2025
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Huazi Pan
Yanjun Zhang
Leo Yu Zhang
Scott Adams
Abbas Kouzani
Suiyang Khoo
FedML
306
0
0
22 May 2025
Coded Robust Aggregation for Distributed Learning under Byzantine Attacks
Chengxi Li
Ming Xiao
Mikael Skoglund
OOD
AAML
FedML
221
0
0
17 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
801
1
0
12 May 2025
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev
Usama Zafar
Salman Toor
Prashant Singh
FedML
310
1
0
05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
549
7
0
03 May 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
368
1
0
24 Apr 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
460
3
0
02 Apr 2025
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
Usama Zafar
André Teixeira
Salman Toor
FedML
AAML
391
1
0
26 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning
Binghui Zhang
Luis Mares De La Cruz
Binghui Wang
FedML
203
1
0
15 Mar 2025
Smoothed Normalization for Efficient Distributed Private Optimization
Egor Shulgin
Sarit Khirirat
Peter Richtárik
FedML
441
2
0
20 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
273
0
0
03 Feb 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Neural Information Processing Systems (NeurIPS), 2025
T. Dahan
Kfir Y. Levy
332
0
0
16 Jan 2025
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
433
6
0
02 Dec 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao
I. Mason
Sanjeev R. Kulkarni
Xavier Boix
MoMe
FedML
597
10
0
27 Nov 2024
Unified Breakdown Analysis for Byzantine Robust Gossip
Renaud Gaucher
Hadrien Hendrikx
Aymeric Dieuleveut
FedML
AAML
489
0
0
14 Oct 2024
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2024
Hairi
Minghong Fang
Zifan Zhang
Alvaro Velasquez
Jia Liu
AAML
354
3
0
19 Sep 2024
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
Changxin Liu
Yanghao Li
Yuhao Yi
Karl H. Johansson
FedML
246
1
0
13 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
401
1
0
10 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
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning
Symposium on Networked Systems Design and Implementation (NSDI), 2024
Chenyuan Wu
Haoyun Qin
Mohammad Javad Amiri
B. T. Loo
Dahlia Malkhi
Ryan Marcus
272
6
0
12 Aug 2024
Understanding Byzantine Robustness in Federated Learning with A Black-box Server
Fangyuan Zhao
Yuexiang Xie
Xuebin Ren
Bolin Ding
Shusen Yang
Yaliang Li
FedML
AAML
305
1
0
12 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
530
0
0
09 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning
Chenfei Nie
Qiang Li
Yuxin Yang
Yuede Ji
Binghui Wang
308
4
0
29 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
377
2
0
21 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
Sizai Hou
Songze Li
Tayyebeh Jahani-Nezhad
Giuseppe Caire
FedML
533
8
0
12 Jul 2024
Generalization Error Matters in Decentralized Learning Under Byzantine Attacks
Haoxiang Ye
Qing Ling
305
9
0
11 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
433
2
0
01 Jun 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
International Conference on Machine Learning (ICML), 2024
T. Dahan
Kfir Y. Levy
360
3
0
23 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach
Renaud Gaucher
Aymeric Dieuleveut
Hadrien Hendrikx
AAML
328
2
0
06 May 2024
On the Relevance of Byzantine Robust Optimization Against Data Poisoning
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
AAML
329
2
0
01 May 2024
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Ali Reza Ghavamipour
Benjamin Zi Hao Zhao
Oguzhan Ersoy
Fatih Turkmen
FedML
AAML
242
5
0
27 Apr 2024
Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks
Jie Peng
Weiyu Li
Qing Ling
OOD
238
0
0
21 Apr 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura
Kerem Ozfatura
Baturalp Buyukates
Mert Coskuner
Alptekin Kupcu
Deniz Gunduz
AAML
232
0
0
09 Apr 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
282
2
0
21 Feb 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
323
16
0
20 Feb 2024
Tracking the Median of Gradients with a Stochastic Proximal Point Method
Fabian Schaipp
Guillaume Garrigos
Umut Simsekli
Robert M. Gower
381
1
0
20 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
456
5
0
19 Feb 2024
1
2
3
Next
Page 1 of 3
