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Why Batch Normalization Damage Federated Learning on Non-IID Data?

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

8 January 2023

Papers citing "Why Batch Normalization Damage Federated Learning on Non-IID Data?"

26 / 26 papers shown

Title
On the Out-of-Distribution Backdoor Attack for Federated Learning Jiahao Xu Zikai Zhang Rui Hu OODD AAML 179 0 0 16 Sep 2025
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Z. Niu FedML 215 1 0 09 Jun 2025
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning Hongyao Chen Tianyang Xu Xiaojun Wu Josef Kittler FedML 168 0 0 28 May 2025
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Hui Yeok Wong Chee Kau Lim Chee Seng Chan FedML 158 0 0 18 Apr 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning Daniel Gutiérrez Mehrdad Hassanzadeh Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti 169 2 0 21 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Longji Xu Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 362 1 0 24 Feb 2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features SynthesizingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Yuhao Zhou Yuxin Tian Mingjia Shi Yuanxi Li Yanan Sun Qing Ye Jiancheng Lv 145 2 0 05 Feb 2025
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2025 Shuai Wang Yanqing Xu Chaoqun You Mingjie Shao Tony Q.S. Quek 142 2 0 20 Jan 2025
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning ApproachIEEE/IFIP Network Operations and Management Symposium (NOMS), 2024 Luyao Zou Yu Min Park Chu Myaet Thwal Y. Tun Zhu Han Choong Seon Hong 124 2 0 17 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 199 11 0 07 Oct 2024
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration Vasilis Siomos Jonathan Passerat-Palmbach Jonathan Passerat-Palmbach 208 0 0 02 Oct 2024
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Rongguang Ye Shuai Wang Guangxu Zhu Yik-Chung Wu 187 14 0 29 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated LearningAsian Conference on Computer Vision (ACCV), 2024 Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 197 0 0 24 Sep 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding Wei-Bin Kou Qingfeng Lin Ming Tang Shuai Wang Guangxu Zhu Yik-Chung Wu 172 10 0 01 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 264 2 0 01 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 221 23 0 30 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taiani FedML 225 6 0 23 May 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 330 20 0 05 Mar 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 134 15 0 18 Jan 2024
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model SparsificationIEEE Internet of Things Journal (IEEE IoT J.), 2023 Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 195 2 0 30 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating ClientsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 324 1 0 11 Oct 2023
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang Mahdi Beitollahi Alex Bie Xi Chen FedML MLT AI4CE 145 4 0 18 Aug 2023
FedWon: Triumphing Multi-domain Federated Learning Without NormalizationInternational Conference on Learning Representations (ICLR), 2023 Weiming Zhuang Lingjuan Lyu 182 12 0 09 Jun 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 446 12 0 12 Mar 2023
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels Pranav Kulkarni Adway U. Kanhere Paul H. Yi V. Parekh OOD FedML 107 5 0 10 Mar 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster ConvergenceIEEE International Conference on Computer Vision (ICCV), 2023 Yuhao Zhou Mingjia Shi Yuanxi Li Qing Ye Yanan Sun Jiancheng Lv 144 9 0 27 Feb 2023