Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.00655
Cited By
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
1 February 2021
Syed Zawad
Ahsan Ali
Pin-Yu Chen
Ali Anwar
Yi Zhou
Nathalie Baracaldo
Yuan Tian
Feng Yan
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning"
21 / 21 papers shown
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
Zhuoyu Yao
Yue Wang
Songyang Zhang
Y. Li
Zhipeng Cai
Zhi Tian
111
0
0
22 Sep 2025
Poison to Detect: Detection of Targeted Overfitting in Federated Learning
Soumia Zohra El Mestari
Maciej Krzysztof Zuziak
Gabriele Lenzini
160
0
0
15 Sep 2025
PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling
Yuxuan Yue
Zukang Xu
Zhihang Yuan
Dawei Yang
Jianglong Wu
Liqiang Nie
MQ
326
0
0
05 Jun 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
275
0
0
03 Feb 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
495
0
0
19 Nov 2024
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
Amir Najafi
Samin Mahdizadeh Sani
Farzan Farnia
OOD
FedML
419
0
0
26 Oct 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
Linlin Wang
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
320
5
0
16 Jun 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Naveen Kumar
Krishna Mohan
Aravind Machiry
AAML
442
4
0
05 Apr 2024
LEFL: Low Entropy Client Sampling in Federated Learning
Waqwoya Abebe
J. P. Muñoz
Ali Jannesari
FedML
365
2
0
29 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
IEEE Communications Surveys and Tutorials (COMST), 2023
Yichen Wan
Youyang Qu
Wei Ni
Yong Xiang
Longxiang Gao
Ekram Hossain
AAML
343
97
0
14 Dec 2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
Chung Park
Taekyoon Choi
Taesan Kim
Mincheol Cho
Junui Hong
Minsung Choi
Jaegul Choo
FedML
220
7
0
06 Dec 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhen Qin
Feiyi Chen
Chen Zhi
Xueqiang Yan
Shuiguang Deng
AAML
FedML
233
20
0
28 Sep 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Yang Jiao
Kai Yang
Dongjin Song
442
5
0
25 Jul 2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Haochen Mei
Gaolei Li
Jun Wu
Longfei Zheng
SILM
AAML
284
18
0
13 Jun 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Knowledge Discovery and Data Mining (KDD), 2023
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
428
33
0
03 Feb 2023
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Neural Information Processing Systems (NeurIPS), 2022
Yang Jiao
Kai Yang
Dongjin Song
383
16
0
14 Oct 2022
To Store or Not? Online Data Selection for Federated Learning with Limited Storage
The Web Conference (WWW), 2022
Chen Gong
Zhenzhe Zheng
Yunfeng Shao
Bingshuai Li
Fan Wu
Guihai Chen
525
28
0
01 Sep 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
438
24
0
15 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning
Network and Distributed System Security Symposium (NDSS), 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
AAML
242
31
0
10 Feb 2022
Fabricated Flips: Poisoning Federated Learning without Data
Dependable Systems and Networks (DSN), 2022
Jiyue Huang
Zilong Zhao
L. Chen
Stefanie Roos
275
3
0
07 Feb 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
International Journal of Machine Learning and Cybernetics (IJMLC), 2021
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
666
130
0
25 Feb 2021
1
Page 1 of 1
