未来,谷歌会不断拓展 Federated Learning 的功能,并希望能根据手机输入习惯改进语言模型;以及根据图片浏览数据改进图片排列等。 参考资料: (1) Federated Learning: Collaborative Machine Learning without Centralized Training Data,https://research.googleblog.com/2017/04/federated-learning-collaborative.html (2) Pra...
这意味着在 Federated Learning 的方式下,把数据保存在云端,不再是搞大规模机器学习的必要前提。 最重要的一点:Federated Learning 并不仅仅是在智能手机上运行本地模型做预测 (比如 Mobile Vision API 和 On-Device Smart Reply),而更进一步,让移动设备能够协同进行模型训练。 工作原理 Federated Learning 的工作方式...
原文链接:https://research.googleblog.com/2017/04/federated-learning-collaborative.html 最近还看了一篇文章,作者:飞向未来的埃舍尔。留存下来自己学习: 文章只想留着自己学习,有转载部分有标记出来,目前知乎还不具备仅对自己可见的功能,所以只好发布留存。
未来,谷歌会不断拓展 Federated Learning 的功能,并希望能根据手机输入习惯改进语言模型;以及根据图片浏览数据改进图片排列等。 参考资料: (1) Federated Learning: Collaborative Machine Learning without Centralized Training Data,https://research.googleblog.com/2017/04/federated-learning-collaborative.html (2) Pra...
目前,在谷歌输入法的搜索推荐之外,谷歌希望根据手机输入习惯改进语言模型;以及根据图片浏览数据改进图片排列。 对Federated Learning 进行应用,需要机器学习开发者采用新的开发工具以及全新思路——从模型开发、训练到模型评估。 via googleblog 本文来源:cnbeta网站 责任编辑: 王晓易_NE0011...
目前的federated learning 开源框架主要有两个: 谷歌的TensorFlow Federated (TFF)框架 微众银行的federated learning开源框架FATE [Referent] [1]Federated Learning: Collaborative Machine Learning without Centralized Training Data, 2017.https://ai.googleblog.com/2017/04/federated-learning-collaborative.html. ...
Towards Federated Learning at Scale: System Designarxiv.org 这篇文章详细描述了 Google 内部使用的 Federated Learning 平台的系统设计,描述了遇到的挑战和解决方案,同时展望了未来的方向。这些设计对后来的FL系统(比如PySyft)都有着一定的影响。 划重点时间 -- 这篇文章主要讲了客户端的设计,服务器端的设计,客户...
This blog will be focusing on the work Google has been doing in the Federated Learning space. In 2017, Google AI Research published a paper on “Federated Learning: Collaborative Machine Learning without Centralized Training Data”. The paper talks about the methodology of Federated Learning, where...
目前的Federated Learning 开源框架主要有两个: 谷歌的TensorFlow Federated (TFF)框架 微众银行的Federated Learning开源框架FATE Reference Federated Learning: Collaborative Machine Learning without Centralized Training Data, 2017.https://ai.googleblog.com/2017/04/federated-learning-collaborative.html. ...
Federated Machine Learning: Concept and Applications Federated Learning: The Future of Distributed Machine Learning Federated Learning from Google https://doc.ai/blog/federated-future-ready-shipping/ 参考 ^Adding vs. Averaging in Distributed Primal-Dual Optimizationhttps://arxiv.org/abs/1502.03508 ...