FCA: Taming Long-tailed Federated Medical Image Classification by
Classifier Anchoring

FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring

1 May 2023

Jeffry Wicaksana

Kwang-Ting Cheng

Papers citing "FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring"

10 / 10 papers shown

Title
Normative Modeling for AD Diagnosis and Biomarker Identification S. Zhao Rong-Er Zhou Yu Zhang Yong Chen Lifang He 27 0 0 15 Nov 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 33 1 0 15 Aug 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 25 12 0 05 Dec 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí H. Fu X. Li FedML 19 8 0 27 Jul 2023
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 69 60 0 27 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 163 770 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 82 936 0 03 Feb 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 152 541 0 21 Jul 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 164 1,690 0 18 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019