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Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
v1v2 (latest)

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting

International Conference on Machine Learning (ICML), 2023
13 February 2023
Yuchen Liu
Chen Chen
Lingjuan Lyu
Fangzhao Wu
Sai Wu
Gang Chen
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting"

8 / 8 papers shown
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Do We Really Need to Design New Byzantine-robust Aggregation Rules?Network and Distributed System Security Symposium (NDSS), 2025
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAMLOOD
383
16
0
29 Jan 2025
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedMLAI4CE
327
6
0
02 Dec 2024
FedCAP: Robust Federated Learning via Customized Aggregation and
  Personalization
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
769
2
0
16 Oct 2024
Understanding Byzantine Robustness in Federated Learning with A
  Black-box Server
Understanding Byzantine Robustness in Federated Learning with A Black-box Server
Fangyuan Zhao
Yuexiang Xie
Xuebin Ren
Bolin Ding
Shusen Yang
Yaliang Li
FedMLAAML
242
1
0
12 Aug 2024
Certifiably Byzantine-Robust Federated Conformal Prediction
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang
Zhen Lin
Jimeng Sun
Cao Xiao
Yue Liu
FedML
357
5
0
04 Jun 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid
  Byzantines in Federated Learning
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
194
0
0
09 Apr 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFinAI4CE
676
122
0
27 Jun 2023
MUDGUARD: Taming Malicious Majorities in Federated Learning using
  Privacy-Preserving Byzantine-Robust Clustering
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust ClusteringProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022
Rui Wang
Xingkai Wang
H. Chen
Jérémie Decouchant
S. Picek
Ziqiang Liu
K. Liang
225
3
0
22 Aug 2022
1