BriefGPT.xyz
Jun, 2021
个性化高斯过程联邦学习
Personalized Federated Learning with Gaussian Processes
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Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
TL;DR
pFedGP基于高斯过程和深层核学习,旨在解决在低数据环境下学习跨客户有效性的挑战,通过学习跨客户的共享核函数以及个性化的GP分类器,在多个基准测试中实现了高度准确的状态,并在可靠性方面显着优于基准方法。
Abstract
federated learning
aims to learn a global model that performs well on client devices with limited cross-client communication. Personalized
federated learning
(PFL) further extends this setup to handle data hetero
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