FedMix: Approximation of Mixup under Mean Augmented Federated Learning

1 July 2021

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

41 / 91 papers shown

Title
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 49 29 0 30 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 23 36 0 21 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 31 28 0 21 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning Zirui Wang Shaoming Duan Chengyue Wu Wenhao Lin Xin-Xiang Zha Peiyi Han Chuanyi Liu MedIm 19 4 0 02 Dec 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 38 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 39 26 0 20 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 31 7 0 10 Nov 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 36 2 0 28 Oct 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 49 38 0 06 Oct 2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning Shangchao Su Bin Li Xiangyang Xue FedML 36 1 0 04 Oct 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 40 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 31 14 0 29 Aug 2022
BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao Jun Wu Jingrui He OOD 18 6 0 27 Aug 2022
SphereFed: Hyperspherical Federated Learning Xin Dong Shanghang Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 27 53 0 14 Jul 2022
StatMix: Data augmentation method that relies on image statistics in federated learning Dominik Lewy Jacek Mańdziuk M. Ganzha M. Paprzycki FedML 27 9 0 08 Jul 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q.S. Quek Zuozhu Liu FedML 28 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 25 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 45 132 0 06 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinfu He Bo Han Xiaowen Chu FedML 38 73 0 06 Jun 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data Huancheng Chen H. Vikalo FedML 14 13 0 01 Jun 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 57 27 0 26 May 2022
Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates Zhi-Hui Yan Dong Li Zhichao Zhang Jiguang He FedML 17 0 0 03 May 2022
One-shot Federated Learning without Server-side Training Shangchao Su Bin Li Xiangyang Xue FedML 10 27 0 26 Apr 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xuelong Li FedML 24 48 0 26 Mar 2022
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating Fengxiang Yang Zhun Zhong Zhiming Luo Shaozi Li N. Sebe FedML OOD 45 6 0 05 Mar 2022
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data Ha Min Son M. Kim T. Chung FedML 27 9 0 01 Dec 2021
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chong Chen FedML 26 158 0 28 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective Margalit Glasgow Honglin Yuan Tengyu Ma FedML 27 43 0 05 Nov 2021
Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation Rui Shao Bochao Zhang Pong C. Yuen Vishal M. Patel FedML CVBM PICV 11 9 0 25 Oct 2021
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization Junkun Yuan Xu Ma Defang Chen Fei Wu Lanfen Lin Kun Kuang FedML 42 22 0 13 Oct 2021
Learning Federated Representations and Recommendations with Limited Negatives Lin Ning K. Singhal Ellie X. Zhou Sushant Prakash FedML 32 14 0 18 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 50 11 0 12 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 30 61 0 21 Jul 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 39 774 0 12 Jun 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 33 117 0 06 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 27 73 0 02 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 27 633 0 20 May 2021
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 30 8 0 19 Nov 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 312 10,237 0 16 Nov 2016