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【MIT 6.824】Labs's Notes
MIT 6.824-2020/2021记录MIT 6.824 labs中遇到的问题与分析拖延症要不得，加油！网上有挺多做完的，得自己做一遍才知道如何Lab 1: MapReduce00.环境按照教材来01.go编译wc.go报错编译代码：go build -buildmode=plugin ../mrapps/wc.go错误如下：解决方法（来源-> 用户Superman2077）实测：Lab
原创[PaperNotes]2017.Algorand: Scaling byzantine agreements for cryptocurrencies
Algorand: Scaling byzantine agreements for cryptocurrencies文章链接：https://doi.org/10.1145/3132747.3132757作者：Yossi Gilad, Rotem Hemo, Silvio Micali, Georgios Vlachos, Nickolai Zeldovich发表：SOSP '17: Proce
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，
