fedlearnAI / fedlearnLinks
联邦学习系统,包括常用算法和通用训练推理系统框架 | Fedlearn Main System, Including Algorithms and Frameworks for Training / Inference.
☆76Updated 3 years ago
Alternatives and similar repositories for fedlearn
Users that are interested in fedlearn are comparing it to the libraries listed below
Sorting:
- FedAI 社区中文文档☆136Updated last year
- Federated Deep Learning in PaddlePaddle☆511Updated 2 years ago
- vertical federated learning demo with crypten☆47Updated 4 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Galaxy Federated Learning Framework (星际联邦学习框架)☆253Updated 2 years ago
- ☆44Updated 3 years ago
- 自己的个人毕设,联邦学习相关,主要是多方安全计算中秘密分享的一种算法实现,以完成不需要第三方的安全隐私传输。(An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Updated 3 years ago
- Private set intersection implemented in Python☆102Updated 3 years ago
- ☆110Updated 4 years ago
- ☆113Updated 4 months ago
- ☆195Updated last year
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- 基于同态加密的联邦学习安全聚合系统☆45Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆71Updated 4 years ago
- A scalable, high-performance serving system for federated learning models☆140Updated 9 months ago
- 联邦学习分布式训练MNist数据集☆60Updated 6 years ago
- ☆143Updated 3 months ago
- WeFe ( WeLab Federated Learning ) 是 Welab 汇立集团子公司[天冕科技](https://www.tianmiantech.com )发起的开源项目,为联邦学习生态系统提供了一套好用的可靠的企业级联邦学习平台。☆140Updated 5 months ago
- 联邦学习相关资源整理☆43Updated 4 years ago
- Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers☆92Updated 3 years ago
- 多方安全计算技术&联邦学习相关/Multi party security computing technology federated learning☆17Updated last year
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆628Updated 4 years ago
- ☆88Updated 5 years ago
- Federated Learning on XGBoost☆46Updated 5 years ago
- Paper notes and code for differentially private machine learning☆357Updated 2 weeks ago
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆242Updated 3 months ago
- Overview of Federal Learning☆293Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year