FederatedAI / FATE-Serving
A scalable, high-performance serving system for federated learning models
☆139Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for FATE-Serving
- FATE's Visualization Toolkit☆100Updated last month
- Manage federated learning workload using cloud native technologies.☆424Updated 3 weeks ago
- Solution for deploying and managing end-to-end federated learning workflows☆52Updated this week
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆243Updated last month
- Infrastructure for building and managing Federated Data Collaboration Network☆30Updated this week
- How FedAI community is running☆25Updated 10 months ago
- FedAI 社区中文文档☆131Updated 6 months ago
- Federated Deep Learning in PaddlePaddle☆497Updated last year
- 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。☆135Updated 2 months ago
- FLEX (Federated Learning EXchange,FLEX) protocol is a set of standardized federal learning agreements designed by Tongdun AI Research Gro…☆54Updated last year
- ☆112Updated last month
- Federated Computer Vision Engine☆112Updated 3 years ago
- SCQL (Secure Collaborative Query Language) is a system that allows multiple distrusting parties to run joint analysis without revealing …☆129Updated this week
- ☆21Updated 4 months ago
- Galaxy Federated Learning Framework (星际联邦学习框架)☆242Updated last year
- PrimiHub platform is a Muti-Party Computation and Muti-Party federated task security scheduling platform for MPC and FL point to point se…☆113Updated 2 weeks ago
- Privacy Preserving Vertical Federated Learning☆214Updated last year
- Federated Learning Blockchain Web Demo☆50Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆500Updated last year
- Private set intersection implemented in Python☆100Updated 2 years ago
- Simulate a federated setting and run differentially private federated learning.☆361Updated 3 months ago
- 联邦学习相关资源整理☆40Updated 4 years ago
- A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.☆92Updated 2 months ago
- ☆42Updated 2 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆111Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆286Updated last year
- A Privacy-Preserving Framework Based on TensorFlow☆566Updated 2 years ago
- A multi-party collaborative machine learning framework☆892Updated 4 months ago
- ☆213Updated 3 months ago
- ☆190Updated last year