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 framework enhances privacy as data never leaves the device and at the same time creates possibilities to develop hyper-personalized recommendations and solutions. As smartphone and other devices will be increasingly equipped with AI chipsets possessing significant computing power, more future ML models will be able to run locally. Android and Apple devices already use some of these techniques, how can the mobile industry gain from such technology developments? 



Event type

GSMA Seminars


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