【譯】Federated Learning: Bringing Machine Learning to the edge with Kotlin and Android
採用機器學習模式須要數據。 咱們越多越好。 可是，數據並不便宜，更重要的是，數據可能包含敏感的我的信息。android 以新法律形式做爲GDPR以及提升用戶和公民對其數據價值的認識的最新隱私發展正在產生對實施更多隱私的技術的需求git 雖然匿名技術能夠極大地幫助解決隱私問題，但全部數據都被髮送到中央位置以訓練機器學習模型的事實始終是擔憂的動機github 該項目證實瞭如何使用Android應用程序
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相關文章
- 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. 【翻譯】How to Backdoor Federated Learning
- 6. Introduction to Machine Learning
- 7. 【譯】The challenge of verification and testing of machine learning
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- 9. The Definitive Security Data Science and Machine Learning Guide
- 10. GTD190024:【翻譯】The State of Data Science & Machine Learning