ICMLMay, 2024
MH-pFLID:医疗数据分析的模型异构个性化联合学习:注入与蒸馏
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie, Manqing Lin, Tianyu Luan, Cong Li, Yuejian Fang...
TL;DR通过使用轻量级的消息模型,Model Heterogeneous personalized Federated Learning via Injection and Distillation (MH-pFLID) 是一种新颖的联邦学习范式,用于解决在医疗应用中的系统异构、知识蒸馏和隐私问题。