Session Description
Federated learning distributes the machine learning process at the edge, enabling devices to learn collaboratively while using the training data on the device. This and other techniques have been trialled recently in healthcare and banking to enhance privacy when dealing with personal information as data never leaves the premises or the device. As smartphone and other devices will become more powerful more ML models will be able to run locally and on devices. How can the mobile industry gain from such technology developments and use them to boost consumer trust?
