Federated meta learning: a review

With the popularity of mobile devices, massive amounts of data are constantly produced.The data privacy policies are becoming more and more specified, the flow and use of data are strictly regulated.Federated learning can break data barriers and use client data for modeling.Because users have differ...

詳細記述

書誌詳細

出版年:	大数据
主要な著者:	Chuanyao ZHANG, Shijing SI, Jianzong WANG, Jing XIAO
フォーマット:	論文
言語:	中国語
出版事項:	China InfoCom Media Group 2023-03-01
主題:	federated learning;meta learning;heterogeneous data;federated meta learning;privacy protection
オンライン･アクセス:	http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2022051