BriefGPT.xyz
Oct, 2021
基于置信区间预测的无分布式偏差联邦学习
Distribution-Free Federated Learning with Conformal Predictions
HTML
PDF
Charles Lu, Jayasheree Kalpathy-Cramer
TL;DR
该研究提出将自适应拟合框架结合到联邦学习中,确保预测集的分布自由且提供覆盖担保,可在不需要对模型进行任何其他修改的情况下获得不确定性估计,实验证明本方法在医学影像分类任务中取得了更佳的覆盖度。
Abstract
federated learning
has attracted considerable interest for collaborative machine learning in
healthcare
to leverage separate institutional datasets while maintaining patient privacy. However, additional challenge
→