8000 GitHub - Sensorjang/CorwdOS-FL: CrowdOS based Federated Learning Framework【2023CrowdOS挑战赛:赛题A作品】
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CrowdOS based Federated Learning Framework

GitHub Version Language Build Maintained

Introduction

2023CrowdOS挑战赛:赛题A作品
2023 CrowdOS Challenge: Question A Work
队伍名称:WUST
Team Name: WUST

[Computer Science and Technology, School of Computer Science and Technology, WUST, P. Qi(Sensorjang@wust.edu.cn)]

Prerequisites

  • JVM
  • Java 1.8
  • SpringBoot 2.1.1.REALSE+
  • Jsp 3.1.0
  • CrowedOS 1.0.1

Installation

可以直接通过SpringBoot内置的Tomcat容器启动服务
You can directly start services through the built-in Tomcat container of SpringBoot.

然后通过访问index.jsp进入项目主页
Then access the project homepage by accessing index.jsp.

Features Overview

联邦学习计算范例支持

  • 独立仿真训练 Independent Simulation Training
  • 分布式训练(基于gRPC通信协议)Distributed Training (based on gRPC communication protocol)
  • 分布式训练未来可以进一步对CrowdOS Wesense Application进行兼容 Distributed training can be further compatible with CrowdOS Wesense Application in the future

联邦算法支持

  • FedAvg
  • k-means聚类算法 k-means clustering algorithm

License

本项目基于Apache-2.0 License开源许可证开源
This project is released under the Apache-2.0 License.

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CrowdOS based Federated Learning Framework【2023CrowdOS挑战赛:赛题A作品】

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