原创科研/课程/博客/工具
课程收录推荐的优质教(课)程类Python廖雪峰：Python教程lijin-THU：中文 Python 笔记数学微积分：Essence of calculus — YouTube线性代数麻省理工公开课：线性代数Essence of linear algebra — YouTubeLinear Algebra Done Right [Solutions]概率论教材：Introduction to
原创笔记总结汇总
写在前面本文主要汇总所做的一些重要笔记，方便后续查看。会议[CCF-GAIR 2020]全球人工智能和机器人峰会峰会网站入口：https://gair.leiphone.com/gair/gair2020会议直播回放：https://www.yanxishe.com/events/gairLive人工智能前沿专场[CCF-GAIR 2020]Abductive Learning（反绎学习）-周志华
原创领域相关文献整理(更新中)
Few-Shot Learning综述Generalizing from a Few Examples: A Survey on Few-Shot Learning 解读1 解读2 解读3小样本学习（Few-shot Learning）综述 （阿里巴巴智能服务事业部小蜜北京团队）从 CVPR 2019 一览小样本学习研究进展 -- 每年cvpr都会有针对小样本学习的一个总结论文集论文集参见：
原创[PaperNotes]2020.Threats to Federated Learning: A Survey
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
原创[PaperNotes]2019.Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges
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
原创[PaperNotes]2019.A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
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
原创[PaperNotes]2020.A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
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
原创[PaperNotes]2019.Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
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
原创[PaperNotes]2020.DPLCF Differentially Private Local Collaborative Filtering
[TOC]文章地址：https://dl.acm.org/doi/abs/10.1145/3397271.3401053作者：Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li发表会议：SIGIR 2020截止当前（2020.11.15）引用次数：1写在前面由于近期即将着手的内容与DP相关，碰巧关注到了今年的SIGIR有这样的一篇文章，
原创该如何表达对你的热爱
不知何时就有这样的自信（ZhiNian）期待有天作为选手参加马拉松比赛我想 或许源自年少时对运动员的向往或许源自奔跑过程给我的感觉亦或许 有的热爱不需要理由附上最近几天的跑步记录（另外跑前最好别吃辛辣食物！要么你能吃，要么你就别吃，看下图配速就知道为啥我知道了）（或许是我太xian了，滚去看论文……）
原创[Typecho]主题修改相关
文末版权声明代码（post.php对应位置添加以下内容）<strong>版权声明：</strong>本文采用 <a rel="license nofollow" href="https://creativecommons.org/licenses/by-nc-sa/3.0/cn/" target="_blank&quo
