Budget Learning via Bracketing

Gangrade Aditya
Gangrade Aditya
Acar Durmus Alp Emre
Acar Durmus Alp Emre
Cited by: 0|Views5

Abstract:

Conventional machine learning applications in the mobile/IoT setting transmit data to a cloud-server for predictions. Due to cost considerations (power, latency, monetary), it is desirable to minimise device-to-server transmissions. The budget learning (BL) problem poses the learner's goal as minimising use of the cloud while suffering ...More

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