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Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
Paper notes and code for differentially private machine learning
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
RUCAIBox / Awesome-Privacy-Preserving-RS-Paper
Forked from ChangxinTian/Awesome-Privacy-Preserving-RS-PaperThis repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.
Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.
Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based servic…
A tutorial on locality sensitive hashing, using MinHashing for document similarity and CosineSimilarity for Euclidean space similarity.
This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.
A project for collecting and showing the current research progress of FedRec
An opinionated list of awesome Python frameworks, libraries, software and resources.
Afant1 / Hello-Java-Sec
Forked from j3ers3/Hello-Java-Sec☕️ Java Security,安全编码和代码审计
A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
A collection of simple python mini projects to enhance your python skills
Papers and resources about POI recommendation. | 兴趣点推荐相关论文、模型和资源。
Deep Learning Book Chinese Translation
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources