Quantifying the Impact of Label Noise on Federated Learning

Quantifying the Impact of Label Noise on Federated Learning

15 November 2022

Chao Huang

Papers citing "Quantifying the Impact of Label Noise on Federated Learning"

4 / 4 papers shown

Title
Price of Stability in Quality-Aware Federated Learning Yizhou Yan Xinyu Tang Chao Huang Ming Tang FedML 8 1 0 13 Oct 2023
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Tianyi Zhou Guodong Long Bo Han Jing Jiang FedML 22 18 0 20 May 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 173 410 0 14 Jul 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014