FedCorr: Multi-Stage Federated Learning for Label Noise Correction

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

10 April 2022

Tony Q. S. Quek

Kai Fong Ernest Chong

Papers citing "FedCorr: Multi-Stage Federated Learning for Label Noise Correction"

13 / 13 papers shown

Title
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
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 39 0 0 31 Dec 2024
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 35 0 0 31 Dec 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Rui Ye Fengting Yuchi W. Zhao Jingjing Qu Y. Wang Siheng Chen ALM FedML 45 0 0 15 Oct 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 30 0 0 11 Aug 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 29 1 0 02 Jul 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang C. L. P. Chen Jie Xu 29 7 0 14 Mar 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 27 14 0 19 Dec 2023
Price of Stability in Quality-Aware Federated Learning Yizhou Yan Xinyu Tang Chao Huang Ming Tang FedML 20 1 0 13 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 33 244 0 20 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 23 7 0 15 Nov 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 29 2 0 03 May 2022