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AFLGuard: Byzantine-robust Asynchronous Federated Learning

AFLGuard: Byzantine-robust Asynchronous Federated Learning

13 December 2022
Minghong Fang
Jia-Wei Liu
Neil Zhenqiang Gong
Elizabeth S. Bentley
    AAML
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Papers citing "AFLGuard: Byzantine-robust Asynchronous Federated Learning"

11 / 11 papers shown
Title
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
Baolei Zhang
Haoran Xin
Minghong Fang
Zhuqing Liu
Biao Yi
Tong Li
Zheli Liu
SILM
AAML
64
0
0
30 Apr 2025
Poisoning Attacks and Defenses to Federated Unlearning
Poisoning Attacks and Defenses to Federated Unlearning
Wenbin Wang
Qiwen Ma
Zifan Zhang
Yuchen Liu
Zhuqing Liu
Minghong Fang
MU
FedML
82
2
0
29 Jan 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
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
81
6
0
29 Jan 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
T. Dahan
Kfir Y. Levy
65
0
0
17 Jan 2025
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in
  Federated Learning
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
52
1
0
31 May 2024
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Zifan Zhang
Minghong Fang
Jiayuan Huang
Yuchen Liu
AAML
45
8
0
22 Apr 2024
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
110
137
0
08 Nov 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
101
241
0
09 Sep 2021
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang
Minghao Sun
Qi Li
Neil Zhenqiang Gong
Jinhua Tian
Jia-Wei Liu
47
34
0
18 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
117
611
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
188
1,032
0
29 Nov 2018
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