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1909.05125
Cited By
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging
11 September 2019
Luis Muñoz-González
Kenneth T. Co
Emil C. Lupu
FedML
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Papers citing
"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging"
39 / 39 papers shown
Title
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
74
0
0
14 May 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAML
OOD
133
8
0
29 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
Phillip Rieger
Alessandro Pegoraro
Kavita Kumari
Tigist Abera
Jonathan Knauer
A. Sadeghi
AAML
143
2
0
11 Jan 2025
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
99
1
0
21 Jul 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Bo Li
Radha Poovendran
FedML
90
2
0
31 May 2024
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning
M. Chahoud
Azzam Mourad
Hadi Otrok
Jamal Bentahar
Mohsen Guizani
30
2
0
01 May 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Jorge Castillo
Phillip Rieger
Hossein Fereidooni
Qian Chen
Ahmad Sadeghi
FedML
AAML
80
8
0
03 Oct 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks
Ehsanul Kabir
Zeyu Song
Md Rafi Ur Rashid
Shagufta Mehnaz
49
7
0
10 Aug 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
156
49
0
21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
86
24
0
20 Feb 2023
AFLGuard: Byzantine-robust Asynchronous Federated Learning
Minghong Fang
Jia-Wei Liu
Neil Zhenqiang Gong
Elizabeth S. Bentley
AAML
80
28
0
13 Dec 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza
Shujun Li
K. Tran
L. Koehl
Kim Duc Tran
AAML
147
4
0
18 Jul 2022
Defending against the Label-flipping Attack in Federated Learning
N. Jebreel
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
AAML
69
37
0
05 Jul 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
85
229
0
20 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Phillip Rieger
T. D. Nguyen
Markus Miettinen
A. Sadeghi
FedML
AAML
104
159
0
03 Jan 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Junyu Shi
Wei Wan
Shengshan Hu
Jianrong Lu
L. Zhang
AAML
95
86
0
29 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
106
9
0
19 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda
Saeed Mahloujifar
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
FedML
AAML
76
88
0
12 Dec 2021
FedRAD: Federated Robust Adaptive Distillation
Stefán Páll Sturluson
Samuel Trew
Luis Muñoz-González
Matei Grama
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
FedML
93
17
0
02 Dec 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun
Ang Li
Louis DiValentin
Amin Hassanzadeh
Yiran Chen
H. Li
FedML
OOD
AAML
153
81
0
26 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
65
4
0
21 Oct 2021
Federated Learning via Plurality Vote
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
FedML
104
9
0
06 Oct 2021
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Jian Xu
Shao-Lun Huang
Linqi Song
Tian-Shing Lan
FedML
AAML
85
48
0
13 Sep 2021
Byzantine Fault-Tolerance in Federated Local SGD under 2f-Redundancy
Nirupam Gupta
Thinh T. Doan
Nitin H. Vaidya
FedML
66
11
0
26 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning
Hongtao Lv
Zhenzhe Zheng
Tie-Mei Luo
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
FedML
63
27
0
24 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
106
76
0
01 Aug 2021
From Distributed Machine Learning to Federated Learning: A Survey
Ji Liu
Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
Haoyi Xiong
Dejing Dou
FedML
OOD
144
262
0
29 Apr 2021
Robust Federated Learning with Attack-Adaptive Aggregation
Ching Pui Wan
Qifeng Chen
OOD
FedML
83
31
0
10 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation
Zhuosheng Zhang
Jiarui Li
Shucheng Yu
C. Makaya
FedML
53
22
0
04 Feb 2021
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Yo-Seb Jeon
H. Vincent Poor
FedML
54
8
0
28 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
T. D. Nguyen
Phillip Rieger
Huili Chen
Hossein Yalame
Helen Mollering
...
Azalia Mirhoseini
S. Zeitouni
F. Koushanfar
A. Sadeghi
T. Schneider
AAML
89
25
0
06 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
186
658
0
27 Dec 2020
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments
Harry Cai
Daniel Rueckert
Jonathan Passerat-Palmbach
FedML
38
11
0
15 Nov 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare
Matei Grama
M. Mușat
Luis Muñoz-González
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
OOD
FedML
67
47
0
17 Sep 2020
Toward Smart Security Enhancement of Federated Learning Networks
Junjie Tan
Ying-Chang Liang
Nguyen Cong Luong
Dusit Niyato
AAML
67
38
0
19 Aug 2020
Backdoor attacks and defenses in feature-partitioned collaborative learning
Yang Liu
Zhi-qian Yi
Tianjian Chen
AAML
FedML
72
48
0
07 Jul 2020
Secure Byzantine-Robust Machine Learning
Lie He
Sai Praneeth Karimireddy
Martin Jaggi
OOD
81
60
0
08 Jun 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent
Shangwei Guo
Tianwei Zhang
Hanzhou Yu
Xiaofei Xie
Lei Ma
Tao Xiang
Yang Liu
76
48
0
20 Feb 2020
Robust Federated Learning with Noisy Communication
F. Ang
Li Chen
Senior Member Ieee Nan Zhao
Senior Member Ieee Yunfei Chen
Weidong Wang
Feng Yu
FedML
58
117
0
01 Nov 2019
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