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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文字
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PPT
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视频
- GDPR, Data Shortage and AI (AAAI-19 Invited Talk)
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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
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综述与介绍 Survey And Introduction
- arXiv 201912 - Advances and Open Problems in Federated Learning 58位学者联名综述
- TIST 201902 - Federated Machine Learning: Concept and Applications
- arXiv 201909 - Federated Learning in Mobile Edge Networks: A Comprehensive Survey
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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
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联邦学习的提出
- 2015 - Federated Optimization:Distributed Optimization Beyond the Datacenter
- 2016 - Practical Secure Aggregation for Federated Learning on User-Held Data
- 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
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NIPS 2016 - Practical Secure Aggregation for Federated Learning on User-Held Data 增强联邦学习的隐私保护能力
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NIPS 2017 - Federated Multi-Task Learning 联邦多任务学习
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arXiv 201901 - Federated Reinforcement Learning 联邦学习 + 强化学习 (Federated Learning + Reinforcement Learning)
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arXiv 201901 - SecureBoost: A Lossless Federated Learning Framework 纵向联邦学习 (Vertical Federated Learning)
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arXiv 201810 - Secure Federated Transfer Learning
- FATE - 微众银行
- TensorFlow Federated
- Federated-Learning : An implement of google's paper.