FedMix: Approximation of Mixup under Mean Augmented Federated Learning

1 July 2021

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

30 / 30 papers shown

Title
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 91 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 79 1 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 55 0 0 05 Mar 2025
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise Kyle Rui Sang Tahseen Rabbani Furong Huang FedML 29 0 0 20 Sep 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 32 2 0 26 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 32 5 0 13 May 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 41 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 13 13 0 10 Feb 2024
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 26 3 0 23 Oct 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 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 26 19 0 09 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 26 22 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 29 244 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 24 9 0 10 Jul 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 18 7 0 19 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 28 5 0 30 Mar 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 23 28 0 30 Jan 2023
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 25 3 0 22 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 37 26 0 20 Nov 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 8 1 0 28 Sep 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 21 14 0 29 Aug 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 10 53 0 14 Jul 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q. S. Quek Zuozhu Liu FedML 18 10 0 30 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients Zijian Li Jiawei Shao Yuyi Mao Jessie Hui Wang Jinchao Zhang FedML 15 39 0 11 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 20 130 0 06 Jun 2022
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data Ha Min Son M. Kim T. Chung FedML 6 9 0 01 Dec 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding C. L. P. Chen FedML 17 158 0 28 Nov 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q. S. Quek FedML 39 11 0 12 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 16 58 0 21 Jul 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 268 10,214 0 16 Nov 2016