1 code implementation • 23 Mar 2024 • Yushan Huang, Josh Millar, Yuxuan Long, Yuchen Zhao, Hamed Haddadi
For each type, we fine-tune different blocks of the model to achieve optimal performance with reduced energy costs.
no code implementations • 12 Mar 2024 • Yushan Huang, Ranya Aloufi, Xavier Cadet, Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
On MCUs, compared to the standard full model inference, MicroT can save up to about 29. 13% in energy consumption.
no code implementations • 30 May 2023 • Yushan Huang, Hamed Haddadi
The results demonstrate that, our pipeline can achieve 97. 78% accuracy with 483. 82 KB Flash, 70. 32 KB RAM, 118 ms runtime, 4. 83 mW power, and 0. 57 mJ energy consumption on MCUs, reducing by 64. 17%, 12. 31%, 52. 42%, 63. 74%, and 82. 67%, compared to the baseline.
1 code implementation • 22 Feb 2023 • Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam Barnaghi
For applications with stochastic state transitions, features are developed based on Shannon's entropy of Markov chains, entropy rates of Markov chains, entropy production of Markov chains, and von Neumann entropy of Markov chains.
no code implementations • 4 Oct 2022 • Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam Barnaghi
The study uses Internet of Things (IoT) enabled solutions for continuous monitoring of in-home activity, sleep, and physiology to develop care and early intervention solutions to support people living with dementia (PLWD) in their own homes.