联邦学习 Federated Learning

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！

1. 介绍 Introduction

理论介绍 Theory
- TIST 201902 - Federated Machine Learning: Concept and Applications
应用 Application
- 2019 - Federated Learning for Mobile Keyboard Prediction - Google将联邦学习用于自家输入法
- 2019 - Towards Federated Learning at Scale: System Design - 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
- 2017 - Federated Learning: Strategies for Improving Communication Efficiency
- 2017 - Communication-Efficient Learning of Deep Networks from Decentralized Data 联邦平均算法 the FederatedAveraging algorithm
arXiv (未经同行评议)
- arXiv 201901 - Federated Reinforcement Learning
- arXiv 201901 - SecureBoost: A Lossless Federated Learning Framework
- arXiv 201810 - Secure Federated Transfer Learning