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 • 11 Sep 2023 • Mengjia Niu, Yuchen Zhao, Hamed Haddadi
Multivariate time series (MTS) data collected from multiple sensors provide the potential for accurate abnormal activity detection in smart healthcare scenarios.
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 • 27 Dec 2022 • Savvas Hadjixenophontos, Anna Maria Mandalari, Yuchen Zhao, Hamed Haddadi
In this paper, we propose PRISM, an edge-based system for experimenting with in-home smart healthcare devices.
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.
no code implementations • 16 Feb 2022 • Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi
This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments?
no code implementations • 19 Oct 2021 • Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David Sharp, Payam Barnaghi
Agitation is one of the neuropsychiatric symptoms with high prevalence in dementia which can negatively impact the Activities of Daily Living (ADL) and the independence of individuals.
no code implementations • 10 Sep 2021 • Yuchen Zhao, Payam Barnaghi, Hamed Haddadi
Federated learning is proposed as an alternative to centralized machine learning since its client-server structure provides better privacy protection and scalability in real-world applications.
no code implementations • 20 Feb 2021 • Qiang Gao, Yuchen Zhao, Xingjiang Zhou, Zhihai Zhu
The recent observation of superconductivity in infinite-layer nickelate Nd$_{0. 8}$Sr$_{0. 2}$NiO$_{2}$ has received considerable attention.
Superconductivity Strongly Correlated Electrons
no code implementations • 2 Nov 2020 • Yuchen Zhao, Hanyang Liu, Honglin Li, Payam Barnaghi, Hamed Haddadi
In this paper, we propose an activity recognition system that uses semi-supervised federated learning, wherein clients conduct unsupervised learning on autoencoders with unlabelled local data to learn general representations, and a cloud server conducts supervised learning on an activity classifier with labelled data.
no code implementations • 12 Jul 2018 • Yuchen Zhao, Jeevan Manavalan, Prabhakar Ray, Hsiu-Chin Lin, Matthew Howard
This paper introduces the first, open source software library for Constraint Consistent Learning (CCL).