TheVerge reports that Google (Weibo) has developed a new model for training artificial intelligence (AI) that can train and improve AI algorithms directly on users' smartphones.
When large technology companies use machine learning to improve software, the process is usually very centralized. For example, companies such as Google and Apple collect information about how users use their applications, store them somewhere on the server, and then use aggregated data to train new algorithms. Finally, the user will receive an improved application update.
This AI algorithm training method is effective, but the process of updating the application and collecting feedback data is very time consuming. Moreover, this approach is not conducive to protecting user privacy because companies must store data on their servers about how users use their applications. To solve these problems, Google is trying a new AI training method and calling it Federated Learning.
Federated Learning's training of the AI ​​algorithm is done directly on the user's device, rather than collecting user data somewhere on the Google server and using that data to train the algorithm. In other words, Federated Learning uses the CPU of the user's mobile phone to help train Google's AI algorithm.
Currently, Google is testing Federated Learning in the Android platform keyboard application Gboard. When Gboard displays recommended search terms based on information entered by the user, Gboard will remember the search terms that the user clicked and the search terms that are ignored, and then personalize the algorithm directly on the user's mobile phone. (For this test, Google has integrated a streamlined version of its machine learning software, TensorFlow, into the Gboard application). These improvements will be sent back to Google, which will then be aggregated by Google and published to all users.
Google explained in a blog post that this AI training method has many benefits. First of all, it is more conducive to protecting user privacy, because the training process is carried out directly on the user equipment, and the user's data is not stored. Second, this training method will allow users to immediately benefit from the personalized improvement of the AI ​​algorithm without waiting for Google to release new application updates. Google said that the entire Federated Learning system has been streamlined and will not affect the battery life or performance of the user's mobile phone. The training process will only be "free and connected to the phone" and "free Wi-Fi access". "It will only happen."
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