【译】Federated Learning: Bringing Machine Learning to the edge with Kotlin and Android
采用机器学习模式须要数据。 咱们越多越好。 可是，数据并不便宜，更重要的是，数据可能包含敏感的我的信息。android 以新法律形式做为GDPR以及提升用户和公民对其数据价值的认识的最新隐私发展正在产生对实施更多隐私的技术的需求git 虽然匿名技术能够极大地帮助解决隐私问题，但全部数据都被发送到中央位置以训练机器学习模型的事实始终是担忧的动机github 该项目证实了如何使用Android应用程序
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相关文章
- 1. Android Things and Machine Learning
- 2. Machine and Deep Learning with Python
- 3. Classification and inference with machine learning
- 4. An Introduction to Machine Learning with Python
- 5. 【翻译】How to Backdoor Federated Learning
- 6. Introduction to Machine Learning
- 7. 【译】The challenge of verification and testing of machine learning
- 8. Federated Learning in Mobile Edge Networks: AComprehensive Survey(翻译)
- 9. The Definitive Security Data Science and Machine Learning Guide
- 10. GTD190024:【翻译】The State of Data Science & Machine Learning