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

8 January 2023

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

24 / 24 papers shown

Title
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Hui Yeok Wong Chee Kau Lim Chee Seng Chan FedML 56 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 56 0 0 21 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 50 0 0 24 Feb 2025
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 64 4 0 07 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration Vasilis Siomos Sergio Naval Marimont Jonathan Passerat-Palmbach G. Tarroni 34 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 39 4 0 29 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 39 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 52 3 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 64 1 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 51 4 0 30 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning R. Guerraoui Rafael Pinot Geovani Rizk John Stephan François Taiani FedML 54 3 0 23 May 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 42 11 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 45 7 0 18 Jan 2024
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 35 1 0 30 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 53 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 30 1 0 18 Aug 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 32 9 0 09 Jun 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 50 10 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 30 3 0 10 Mar 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence Yuhao Zhou Mingjia Shi Yuanxi Li Qing Ye Yanan Sun Jiancheng Lv 26 4 0 27 Feb 2023
Rethinking Normalization Methods in Federated Learning Zhixu Du Jingwei Sun Ang Li Pin-Yu Chen Jianyi Zhang H. Li Yiran Chen FedML 34 29 0 07 Oct 2022
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 62 73 0 12 Sep 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 176 794 0 15 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 181 765 0 28 Sep 2019