Threats to Federated Learning: A Survey文章链接：https://arxiv.org/abs/2003.02133作者：Lingjuan Lyu, Han Yu, Qiang Yang发表：arXiv截止当前（2020.12.20）被引次数：24Zotero链接: 从我的文库打开标签1标签2标签3标签4 [toc]Summary本文侧重危及FL的威胁的最
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges文章链接：https://arxiv.org/abs/1908.06847v4作者：Solmaz Niknam, Harpreet S. Dhillon, Jeffery H. Reed发表：arXiv截止当前（2020.1
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection文章地址：https://arxiv.org/abs/1907.09693作者：Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Bingsheng
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective文献链接：https://arxiv.org/pdf/2007.11354.pdf作者：Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Limi
Client Selection for Federated Learning with Heterogeneous Resources in Mobile EdgeZotero链接: 从我的文库打开标签1标签2标签3标签4Federated LearningClient SelectionFedCSMEC回顾本文重点内容见Conclusion。论文阅读笔记仅供参考交流~[TOC]Abstract
