Fed-Focal Loss for imbalanced data classification in Federated Learning

12 November 2020

Papers citing "Fed-Focal Loss for imbalanced data classification in Federated Learning"

5 / 5 papers shown

Title
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 52 10 0 14 Dec 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 43 5 0 25 Jan 2023
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets Debasrita Chakraborty Ashish Ghosh FedML 27 2 0 28 Apr 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang Yang Lu Gang Huang Hanzi Wang FedML 26 79 0 28 Apr 2022