ORCID Profile
0000-0002-9156-3225
Current Organisations
University of New South Wales
,
CSIRO
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: MDPI AG
Date: 09-10-2019
DOI: 10.3390/S19204354
Abstract: The advancement of the Internet of Things (IoT) as a solution in erse application domains has nurtured the expansion in the number of devices and data volume. Multiple platforms and protocols have been introduced and resulted in high device ubiquity and heterogeneity. However, currently available IoT architectures face challenges to accommodate the ersity in IoT devices or services operating under different operating systems and protocols. In this paper, we propose a new IoT architecture that utilizes the component-based design approach to create and define the loosely-coupled, standalone but interoperable service components for IoT systems. Furthermore, a data-driven feedback function is included as a key feature of the proposed architecture to enable a greater degree of system automation and to reduce the dependency on mankind for data analysis and decision-making. The proposed architecture aims to tackle device interoperability, system reusability and the lack of data-driven functionality issues. Using a real-world use case on a proof-of-concept prototype, we examined the viability and usability of the proposed architecture.
Publisher: Elsevier BV
Date: 09-2022
Publisher: Association for Computing Machinery (ACM)
Date: 25-05-2021
DOI: 10.1145/3450288
Abstract: Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates. To identify the state-of-the-art in federated learning and explore how to develop federated learning systems, we perform a systematic literature review from a software engineering perspective, based on 231 primary studies. Our data synthesis covers the lifecycle of federated learning system development that includes background understanding, requirement analysis, architecture design, implementation, and evaluation. We highlight and summarise the findings from the results and identify future trends to encourage researchers to advance their current work.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-02-2023
Publisher: Springer International Publishing
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: Springer International Publishing
Date: 2021
Location: Korea, Republic of
Location: Australia
No related grants have been discovered for Sin Kit Lo.