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2406.10416
Cited By
Byzantine-Robust Decentralized Federated Learning
14 June 2024
Minghong Fang
Zifan Zhang
Hairi
Prashant Khanduri
Jia Liu
Songtao Lu
Yuchen Liu
Neil Zhenqiang Gong
AAML
FedML
OOD
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Papers citing
"Byzantine-Robust Decentralized Federated Learning"
15 / 15 papers shown
Title
Toward Malicious Clients Detection in Federated Learning
Zhihao Dou
Jiaqi Wang
Wei Sun
Zhuqing Liu
Minghong Fang
AAML
21
0
0
14 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
C. Hong
AI4CE
31
0
0
11 May 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
Baolei Zhang
Haoran Xin
Minghong Fang
Zhuqing Liu
Biao Yi
Tong Li
Zheli Liu
SILM
AAML
62
0
0
30 Apr 2025
GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
Yacine Belal
Mohamed Maouche
Sonia Ben Mokhtar
Anthony Simonet-Boulogne
37
0
0
24 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
65
0
0
02 Apr 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
Bicheng Ying
Zhe Li
Haibo Yang
FedML
68
0
0
25 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
50
1
0
10 Mar 2025
Provably Robust Federated Reinforcement Learning
Minghong Fang
Xilong Wang
Neil Zhenqiang Gong
FedML
65
0
0
12 Feb 2025
Poisoning Attacks and Defenses to Federated Unlearning
Wenbin Wang
Qiwen Ma
Zifan Zhang
Yuchen Liu
Zhuqing Liu
Minghong Fang
MU
FedML
77
2
0
29 Jan 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
76
6
0
29 Jan 2025
On the Hardness of Decentralized Multi-Agent Policy Evaluation under Byzantine Attacks
Hairi
Minghong Fang
Zifan Zhang
Alvaro Velasquez
Jia Liu
AAML
16
1
0
19 Sep 2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Zifan Zhang
Minghong Fang
Mingzhe Chen
Gaolei Li
Xi Lin
Yuchen Liu
AAML
35
3
0
02 Jul 2024
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
Yujie Zhang
Neil Zhenqiang Gong
Michael K. Reiter
FedML
40
1
0
10 May 2024
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
73
59
0
02 Oct 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
1