Towards Fair Federated Learning with Zero-Shot Data Augmentation

Towards Fair Federated Learning with Zero-Shot Data Augmentation

27 April 2021

Weituo Hao

Mostafa El-Khamy

Jianyi Zhang

Lawrence Carin

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Papers citing "Towards Fair Federated Learning with Zero-Shot Data Augmentation"

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Title
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 262 0 0 09 Mar 2025
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 105 5 0 05 Jul 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 102 14 0 10 May 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 88 16 0 21 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 61 2 0 27 Feb 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 113 43 0 06 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah Saeed Vahidian Chong Chen M. Shah Bill Lin FedML 97 54 0 30 Sep 2022
Federated Zero-Shot Learning for Visual Recognition Zhi Chen Yadan Luo Sen Wang Jingjing Li Zi Huang FedML 63 3 0 05 Sep 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 129 76 0 06 Jun 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 95 26 0 30 May 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 125 26 0 25 May 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 88 46 0 05 Mar 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices Ruixuan Liu Fangzhao Wu Chuhan Wu Yanlin Wang Lingjuan Lyu Hong Chen Xing Xie FedML 89 72 0 16 Feb 2022
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 85 29 0 07 Oct 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 109 345 0 09 Jun 2021