# iflearner-flow **Repository Path**: iflytek/iflearner-flow ## Basic Information - **Project Name**: iflearner-flow - **Description**: Iflearner Flow是一个基于底层联邦学习框架Iflearner,针对横向联邦学习建模场景下,联合多方完成联邦任务的调度平台。 - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 12 - **Forks**: 5 - **Created**: 2022-09-15 - **Last Updated**: 2025-09-10 ## Categories & Tags **Categories**: machine-learning **Tags**: iflearner, 联邦学习, 联邦学习调度平台 ## README # Iflearner-flow - A multi-party joint task security scheduling platform ![](https://img.shields.io/badge/language-python-blue.svg) [![Forks](https://img.shields.io/github/forks/iflytek/iflearner-flow)](https://img.shields.io/github/forks/iflytek/iflearner-flow) [![Stars](https://img.shields.io/github/stars/iflytek/iflearner-flow)](https://img.shields.io/github/stars/iflytek/iflearner-flow) [![Contributors](https://img.shields.io/github/contributors/iflytek/iflearner-flow)](https://github.com/iflytek/iflearner-flow/graphs/contributors) [![Docs](https://github.com/iflytek/iflearner-flow/actions/workflows/deploy_doc.yaml/badge.svg)](https://github.com/iflytek/iflearner-flow/actions/workflows/deploy_doc.yaml) [![Pypi](https://github.com/iflytek/iflearner-flow/actions/workflows/publish_pypi.yaml/badge.svg)](https://github.com/iflytek/iflearner-flow/actions/workflows/publish_pypi.yaml) [![License: Apache2.0](https://img.shields.io/github/license/iflytek/iflearner-flow)](https://github.com/iflytek/iflearner-flow/blob/main/LICENSE) [DOCS](https://iflytek.github.io/iflearner-flow/) | [中文](https://iflytek.github.io/iflearner-flow/zh/) Iflearner Flow is a multi-party joint task security scheduling platform based on the underlying federated learning framework [Iflearner](https://github.com/iflytek/iflearner), which for horizontal federated learning scenarios. ## Main Features - [x] Support user-defined algorithm mirroring (mainstream deep learning algorithms can be integrated) - [x] SMPC automatic networking (users do not need to care about network details) - [x] Support large-scale cluster task scheduling (based on kubernetes) ## Function - [x] Joint Job and Task Scheduling - [x] Job real-time monitoring - [x] REST API、CLI、SDK - [x] Data access (local data) - [ ] WEB ## Documentation Iflearner Flow related documentation: [Iflearner Flow](https://iflytek.github.io/iflearner-flow/) ## License [Apache License 2.0](https://github.com/iflytek/iflearner-flow/blob/main/LICENSE)