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    Blockchain and federated learning for data sharing in vehicular network by Qiu, Stanley

    Published 2022
    “…Federated learning, however, have a weakness in that the global aggregator of the local gradients is centralized in the server whereupon data contributors will upload their local training gradient updates. …”
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    Final Year Project (FYP)
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    Federated learning for edge computing by Low, Chin Poh

    Published 2024
    “…I will also be looking at a variety of areas of federated learning, such as data partitioning, how to apply them, and the kind of data I will be working with. …”
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    Final Year Project (FYP)
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    Accident severity levels and traffic signs interactions in state roads : a seemingly unrelated regression model in unbalanced panel data approach by Xu, Xuecai, Šarić, Željko, Zhu, Feng, Babić, Dario

    Published 2020
    “…This study intended to investigate the interactions between accident severity levels and traffic signs in state roads located in Croatia, and explore the correlation within accident severity levels and heterogeneity attributed to unobserved factors. …”
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    Journal Article
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    Learning quantum data with the quantum earth mover’s distance by Kiani, Bobak Toussi, De Palma, Giacomo, Marvian, Milad, Liu, Zi-Wen, Lloyd, Seth

    Published 2024
    “…To overcome these obstacles, we consider here the recently proposed quantum earth mover’s (EM) or Wasserstein-1 distance as a quantum analog to the classical EM distance. …”
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    Article
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    Energy efficiency and server virtualization in data centers : an empirical investigation by Yichao Jin., Yonggang Wen., Qinghua Chen.

    Published 2013
    “…This characterization lays a mathematical foundation for server consolidation in green data center architecture.…”
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    Conference Paper
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    Federated learning application analysis and design by Hu, Wenqi

    Published 2022
    “…Mobile devices as becoming people’s life essentials are having more and more computing power, which enables local data analysis. But there is still few commercial-standard Federated learning end device application in the market. …”
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    Final Year Project (FYP)
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    A data-assisted first-principle approach to modeling server outlet temperature in air free-cooled data centers by Liu, Yingbo, Le, Duc Van, Tan, Rui

    Published 2022
    “…The server outlet temperature is an important thermal condition to the operation of an air free-cooled data center that uses fans to continuously pass the outside air through the server room to cool the computing devices. …”
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    Journal Article
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    Data for "Variations on five-dimensional sphere packings" by Cohn, Henry, Rajagopal, Isaac

    Published 2024
    “…This data set includes all the code and data from the paper "Variations on five-dimensional sphere packings" by Cohn and Rajagopal.…”
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    Dataset
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    HTTP over UDP for data intensive applications by Teo, Chou Chun.

    Published 2012
    “…However, its throughput is limited by TCP window mechanism. This makes HTTP over TCP ineffective for data-intensive applications (e.g., HTTP video streaming, etc). …”
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    Final Year Project (FYP)
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    Analysis of peer-to-peer car sharing data in major Chinese cities by Hang, Zhi Cheng

    Published 2018
    “…By analysing the availability of shared cars in 4 major cities in China, namely Beijing, Shanghai, Guangzhou and Shenzhen, this study will seek to gather insights on the habits of Chinese citizens when using peer-to-peer car sharing services and to correlate them with related data points.…”
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    Final Year Project (FYP)
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    Joint client-and-sample selection for federated learning via bi-level optimization by Li, Anran, Wang, Guangjing, Hu, Ming, Sun, Jianfei, Zhang, Lan, Tuan, Luu Anh, Yu, Han

    Published 2024
    “…Federated Learning (FL) enables massive local data owners to collaboratively train a deep learning model without disclosing their private data. …”
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    Journal Article
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    File transfer & data viewing programme of optical fiber sensors based on labview by Liang, Zimou

    Published 2017
    “…When optical fiber sensors are used in study, the data collected is often needed to be viewed from remote devices and storage in a PC other than onsite PC. …”
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    Final Year Project (FYP)
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    Clinical Question-Answering over Distributed EHR Data by Jiang, Emily

    Published 2024
    “…We also create a dataset on clinical trends over the MIMIC-IV database for the evaluation of QA systems on EHR data. …”
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    Thesis
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    Post-deployment adaptation with access to source data via federated learning and source-target remote gradient alignment by Wagner, F, Li, Z, Saha, P, Kamnitsas, K

    Published 2023
    “…This paper challenges this assumption and introduces&nbsp;<strong>FedPDA</strong>, a novel adaptation framework that brings the utility of learning from remote data from Federated Learning into PDA. FedPDA enables a deployed model to obtain information from source data via remote gradient exchange, while aiming to optimize the model specifically for the target domain. …”
    Conference item
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    A data-driven approach to mapping multidimensional poverty at residential block level in Mexico by Zea-Ortiz, Marivel, Vera, Pablo, Salas, Joaquín, Manduchi, Roberto, Villaseñor, Elio, Figueroa, Alejandra, Suárez, Ranyart R.

    Published 2024
    “…Accurate, inexpensive and granular human poverty assessments are critical for data-driven policy decision-making. This research proposes a novel approach to computing poverty scores utilizing multispectral satellite images and indices calculated from census reference values. …”
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    Article
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