Fair Federated Medical Image Segmentation via Client Contribution
Estimation

Fair Federated Medical Image Segmentation via Client Contribution Estimation

29 March 2023

Wenqi Li

Ziyue Xu

Papers citing "Fair Federated Medical Image Segmentation via Client Contribution Estimation"

14 / 14 papers shown

Title
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Z. Li Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 59 0 0 03 Mar 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 65 0 0 21 Jan 2025
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 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
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 43 1 0 31 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 38 16 0 26 May 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 27 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 30 8 0 27 Jul 2023
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 40 52 0 17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 56 40 0 13 Sep 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 786 0 15 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 235 488 0 31 Dec 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 174 1,703 0 18 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 191 433 0 04 Mar 2020