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StatAvg: Mitigating Data Heterogeneity in Federated Learning for
  Intrusion Detection Systems

StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems

20 May 2024
Pavlos S. Bouzinis
Panagiotis I. Radoglou-Grammatikis
Ioannis Makris
T. Lagkas
Vasileios Argyriou
Georgios Th. Papadopoulos
Panagiotis G. Sarigiannidis
G. Karagiannidis
ArXivPDFHTML

Papers citing "StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems"

4 / 4 papers shown
Title
Rethinking Normalization Methods in Federated Learning
Rethinking Normalization Methods in Federated Learning
Zhixu Du
Jingwei Sun
Ang Li
Pin-Yu Chen
Jianyi Zhang
H. Li
Yiran Chen
FedML
24
28
0
07 Oct 2022
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
770
0
15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
936
0
03 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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