# federated learning content links

**Repository Path**: birenwan/federated-learning-content-links

## Basic Information

- **Project Name**: federated learning content links
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 联邦学习 Federated Learning

[![MIT License](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![LICENSE](https://img.shields.io/badge/license-Anti%20996-blue.svg)](https://github.com/996icu/996.ICU/blob/master/LICENSE) [![996.icu](https://img.shields.io/badge/link-996.icu-red.svg)](https://996.icu) 


Everything about federated learning. *Your contribution is highly valued!* 

关于联邦学习的资料，包括：介绍、综述文章、最新文章、代表工作及其代码、数据集、论文等等。 *欢迎一起贡献！* 

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- 目录
	- [1. 介绍 Introduction](##1.-介绍-Introduction)
	- [2. 相关论文 Related Papers](##2.-相关论文-Related-Papers)
	- [3. 项目 Project](##3.-项目-Project)

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## 1. 介绍 Introduction
- 文字介绍
    - [杨强：联邦学习](https://mp.weixin.qq.com/s/5FTrG5SZey2yeIbuyT3HoQ)
    - [Google - Federated Learning: Collaborative Machine Learning without Centralized Training Data](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html)
    - [联邦学习的研究及应用](https://mp.weixin.qq.com/s?src=11&timestamp=1555896266&ver=1561&signature=ZtLlc7qakNAdw8hV3dxaB30PxtK9hAshYsIxccFf-D4eJrUw6YKQcqD0lD3SDMEn4egQTafUZr429er7SueP6HKLTr*uFKfr6JuHc3OvfdJ-uExiEJStHFynC65htbLp&new=1)
    - [杨强：GDPR对AI的挑战和基于联邦迁移学习的对策](https://zhuanlan.zhihu.com/p/42646278) 

- PPT
    - [联邦学习的研究与应用](https://aisp-1251170195.file.myqcloud.com/fedweb/1553845987342.pdf)
    - [Federated Learning and Transfer Learning for Privacy, Security and Confidentiality](https://aisp-1251170195.file.myqcloud.com/fedweb/1552916850679.pdf) (AAAI-19)
    - [GDPR, Data Shortage and AI](https://aisp-1251170195.file.myqcloud.com/fedweb/1552916659436.pdf) (AAAI-19) 

- 视频
    - [GDPR, Data Shortage and AI](https://aaai.org/Conferences/AAAI-19/invited-speakers/#yang) (AAAI-19 Invited Talk) 

- 新闻
	- 2019/02/09 [谷歌发布全球首个产品级移动端分布式机器学习系统，数千万手机同步训练](https://www.jiemian.com/article/2853096.html)

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## 2. 相关论文 Related Papers
- 理论介绍 Theory
    - TIST 201902 - [Federated Machine Learning: Concept and Applications](https://dl.acm.org/citation.cfm?id=3298981) 

- 应用 Application
	- 2019 - [Federated Learning for Mobile Keyboard Prediction](https://arxiv.org/abs/1811.03604) - Google将联邦学习用于自家输入法 
	- 2019 - [Towards Federated Learning at Scale: System Design](https://arxiv.org/abs/1902.01046) - Google千万设备级联邦学习系统设计

- 联邦学习被Google首次提出
    - 2016 - [Federated Optimization: Distributed Machine Learning for On-Device Intelligence](https://arxiv.org/abs/1610.02527)
    - 2017 - [Federated Learning: Strategies for Improving Communication Efficiency](https://arxiv.org/abs/1610.05492)
    - 2017 - [Communication-Efficient Learning of Deep Networks from Decentralized Data](https://arxiv.org/abs/1602.05629) 联邦平均算法 the FederatedAveraging algorithm

- arXiv (未经同行评议)
    - arXiv 201901 - [Federated Reinforcement Learning](https://arxiv.org/abs/1901.08277)
    - arXiv 201901 - [SecureBoost: A Lossless Federated Learning Framework](https://arxiv.org/abs/1901.08755)
    - arXiv 201810 - [Secure Federated Transfer Learning](https://arxiv.org/abs/1812.03337) 

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## 3. 项目 Project
- [FATE - 微众银行](https://github.com/WeBankFinTech/FATE)
- [TensorFlow Federated](https://github.com/tensorflow/federated)
- [Federated-Learning](https://github.com/roxanneluo/Federated-Learning) : An implement of google's paper.

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## 欢迎参与贡献