外包项目：网络安全日志采集及威胁风险分析SOC

元豚科技 - 基于日志安全分析做切入，做最好用的「云原生安全运维工作台」

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. )

Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)

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)

Accenture Labs Federated Learning

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.

Java后端知识图谱🔥 帮助Java初学者成长

A project for collecting and showing the current research progress of FedRec

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

一个2023届毕业生在毕业前持续更新、收集的安全岗面试题及面试经验分享~

An opinionated list of awesome Python frameworks, libraries, software and resources.

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…

Recommender System Papers

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

Java开发及面试（个人面试、工作总结、资料收集站）

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

A curated list of multi party computation resources and links.

MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically partitioned in two parties. A semi-honest third party is leveraged…

This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)