Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2109.05872
Cited By
v1
v2 (latest)
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
13 September 2021
Jian Xu
Shao-Lun Huang
Linqi Song
Tian-Shing Lan
FedML
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Github (12★)
Papers citing
"Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering"
23 / 23 papers shown
On the Out-of-Distribution Backdoor Attack for Federated Learning
Jiahao Xu
Zikai Zhang
Rui Hu
OODD
AAML
283
0
0
16 Sep 2025
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks
Enrique Mármol Campos
Aurora González-Vidal
José Luis Hernández Ramos
A. Gómez-Skarmeta
AAML
80
0
0
26 Aug 2025
Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning
Mirko Konstantin
Anirban Mukhopadhyay
FedML
190
12
0
07 Aug 2025
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
162
3
0
21 Jul 2025
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
Mohammad Maheri
Denys Herasymuk
Hamed Haddadi
198
0
0
25 Jun 2025
Centroid Approximation for Byzantine-Tolerant Federated Learning
Mélanie Cambus
Darya Melnyk
Tijana Milentijević
Stefan Schmid
FedML
243
1
0
18 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
255
0
0
13 Jun 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Computer Vision and Pattern Recognition (CVPR), 2025
Jiahao Xu
Zikai Zhang
Rui Hu
AAML
FedML
609
11
0
11 Mar 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
Yongming Fan
Rui Zhu
Zihao Wang
Chenghong Wang
Haixu Tang
Ye Dong
Hyunghoon Cho
Lucila Ohno-Machado
246
4
0
12 Jan 2025
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
774
2
0
16 Oct 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
ACM Transactions on Cyber-Physical Systems (ACM TCPS), 2024
Zikai Zhang
Suman Rath
Jiaohao Xu
Tingsong Xiao
498
24
0
16 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
362
1
0
10 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jiahao Xu
Zikai Zhang
Rui Hu
256
12
0
02 Sep 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
Sizai Hou
Songze Li
Tayyebeh Jahani-Nezhad
Giuseppe Caire
FedML
455
8
0
12 Jul 2024
Communication-Efficient Byzantine-Resilient Federated Zero-Order Optimization
Afonso de Sá Delgado Neto
Maximilian Egger
Mayank Bakshi
Rawad Bitar
FedML
AI4CE
143
3
0
20 Jun 2024
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
Wenjie Li
K. Fan
Jingyuan Zhang
Hui Li
Wei Yang Bryan Lim
Qiang Yang
AAML
FedML
249
0
0
29 May 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh
Jiayu Chen
Gugan Thoppe
Vaneet Aggarwal
FedML
321
5
0
15 Mar 2024
Decentralized Federated Learning: A Survey on Security and Privacy
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Ehsan Hallaji
R. Razavi-Far
R. Razavi-Far
Boyu Wang
Qiang Yang
FedML
278
99
0
25 Jan 2024
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Xingrong Dong
Zhaoxian Wu
Qing Ling
Zhi Tian
AAML
316
19
0
16 Jul 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
Knowledge Discovery and Data Mining (KDD), 2023
Shanshan Han
Baturalp Buyukates
Zijian Hu
Han Jin
Weizhao Jin
...
Qifan Zhang
Yuhui Zhang
Carlee Joe-Wong
Salman Avestimehr
Chaoyang He
SILM
348
36
0
08 Jun 2023
Network-Level Adversaries in Federated Learning
IEEE Conference on Communications and Network Security (IEEE CNS), 2022
Giorgio Severi
Matthew Jagielski
Gokberk Yar
Yuxuan Wang
Alina Oprea
Cristina Nita-Rotaru
FedML
175
18
0
27 Aug 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
International Conference on Internet-of-Things Design and Implementation (IoTDI), 2022
Shenghui Li
Edith C.H. Ngai
Fanghua Ye
Li Ju
Tianru Zhang
Thiemo Voigt
AAML
FedML
346
16
0
10 Jun 2022
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Richeng Jin
Yufan Huang
Xiaofan He
H. Dai
Tianfu Wu
FedML
309
66
0
25 Feb 2020
1
Page 1 of 1
