MicroTL enables (re)training parts of DNNs on the IoT device, and thus no communication with the cloud is required, thereby protecting sensitive information. More- over, this enables the personalizing of deep neural networks to the end-user using local data while preserving the user's privacy at the same time.
This paper introduces MicroTL, Transfer Learning (TL) on low-power IoT devices. MicroTL tailors TL to IoT devices without the communication requirement with the ...
This paper introduces MicroTL, Transfer. Learning (TL) on low-power IoT devices. MicroTL tailors TL to IoT devices without the communication requirement with ...
This paper introduces MicroTL, Transfer Learning (TL) on low-power IoT devices. MicroTL tailors TL to IoT devices without the communication requirement with the ...
Duration: 19:06
Posted: Oct 4, 2023
Posted: Oct 4, 2023
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Christos Profentzas, Magnus Almgren och Olaf Landsiedel. ”MicroTL: Transfer Learning on Low-Power IoT Devices”. I: 2022 IEEE 47th Conference on Local ...
MicroTL: Transfer Learning on Low-Power IoT Devices. Conference Paper. Sep ... This study actually proposes the protocol by which low power and low specification ...
Microtl: Transfer learning on low-power IoT devices. C Profentzas, M Almgren, O Landsiedel. 2022 IEEE 47th Conference on Local Computer Networks (LCN), 1-8, ...
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Microtl: Transfer learning on low-power IoT devices. C Profentzas, M Almgren, O Landsiedel.