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cs.LG2025
Energy-Aware Deep Learning on Resource-Constrained Hardware
Josh Millar, Hamed Haddadi, Anil Madhavapeddy
The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing. However, such devices face substantial energy c…
cs.LG2024
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
Yushan Huang, Josh Millar, Yuxuan Long +2
The personalization of machine learning (ML) models to address data drift is a significant challenge in the context of Internet of Things (IoT) applications. Presently, most approa…