FedMix: Approximation of Mixup under Mean Augmented Federated Learning

1 July 2021

Papers citing "FedMix: Approximation of Mixup under Mean Augmented Federated Learning"

50 / 91 papers shown

Title
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition Wei Chen Qiang Qiu FedML 74 0 0 11 Mar 2025
Federated Learning for Diffusion Models Zihao Peng Xijun Wang Shengbo Chen Hong Rao Cong Shen DiffM FedML 55 0 0 09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 120 0 0 09 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 92 2 0 06 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 62 0 0 05 Mar 2025
FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning Meilu Zhu Qiushi Yang Zhifan Gao Yixuan Yuan Jun Liu FedML 71 0 0 24 Feb 2025
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Sunny Gupta Vinay Sutar Varunav Singh Amit Sethi 49 0 0 28 Jan 2025
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data Serkan Salturk Irem Sayin Ibrahim Cem Balci Taha Emre Pamukcu Zafer Soydan Huseyin Uvet 43 0 0 25 Dec 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 83 0 0 24 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 53 7 0 27 Oct 2024
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning Xinpeng Wang Xiaoying Tang Xiaoying Tang FedML 31 2 0 15 Oct 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 36 0 0 20 Sep 2024
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method Shihua Sun Pragya Sharma Kenechukwu Nwodo Angelos Stavrou Haining Wang 40 2 0 13 Aug 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 39 0 0 13 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 40 6 0 11 Aug 2024
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks Fan Dong Henry Leung Steve Drew 30 0 0 25 Jun 2024
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia Abhirup Ghosh Xinchi Qiu Cecilia Mascolo 35 3 0 13 Jun 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 40 2 0 26 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 34 0 0 25 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 34 5 0 13 May 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data Okko Makkonen Sampo Niemelä Camilla Hollanti Serge Kas Hanna 35 0 0 04 Apr 2024
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 48 0 0 25 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 43 3 0 27 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 28 13 0 10 Feb 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 44 8 0 10 Jan 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 27 1 0 23 Dec 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 35 12 0 27 Oct 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation Y. Huang Wanqing Xie Mingzhen Li Mingmei Cheng Jinzhou Wu Weixiao Wang Jane You Xiaofeng Liu FedML 36 3 0 23 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 37 10 0 11 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 13 2 0 30 Sep 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 34 0 0 27 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features Zijian Li Zehong Lin Jiawei Shao Yuyi Mao Jun Zhang OOD 33 10 0 30 Aug 2023
Heterogeneous Federated Learning via Personalized Generative Networks Zahra Taghiyarrenani Abdallah S. Abdallah Sławomir Nowaczyk Sepideh Pashami FedML 28 0 0 25 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 27 21 0 23 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 30 20 0 09 Aug 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings Akihiro Mizoguchi A. Bogdanova A. Imakura T. Sakurai FedML 25 1 0 01 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 45 23 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 250 0 20 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 44 9 0 10 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 36 4 0 05 Jul 2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity Bo-wen Li Yasin Esfandiari Mikkel N. Schmidt T. S. Alstrøm Sebastian U. Stich FedML 27 3 0 23 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 33 100 0 20 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 35 10 0 14 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 48 29 0 02 Jun 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 32 7 0 19 May 2023
Cross-modality Data Augmentation for End-to-End Sign Language Translation Jinhui Ye Wenxiang Jiao Xing Wang Zhaopeng Tu Hui Xiong SLR 16 21 0 18 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 44 17 0 10 May 2023
DPP-based Client Selection for Federated Learning with Non-IID Data Yuxuan Zhang Chao Xu Howard H. Yang Xijun Wang Tony Q.S. Quek FedML 49 5 0 30 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 25 3 0 11 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning Shih-Fang Chang Benny Wei-Yun Hsu Tien-Yu Chang Vincent S. Tseng 11 2 0 27 Feb 2023