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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
activities
Activities
Journal Reviewer
- IEEE Transactions on Parallel and Distributed Systems
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Internet of Things Journal
- ACM Computing Surveys
- Journal of Cloud Computing
- Journal of Parallel and Distributed Computing
funding
Funding
- University of St Andrews Research Scholarship, Feb. 2022 - Jul. 2024, Rakuten Mobile sponsored International scholarship – equivalent to £84,000 covering international tuition fees and living expenses.
project
Project
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
FedAdapt is a holistic framework for an IoT-edge environment that surmounts the challenges of accelerating federated learning on resource constrained devices, reducing the impact of stragglers arising from computational heterogeneity of IoT devices and adapting to varying network bandwidth between devices and an edge server - Github
publications
Publications
Published in , 1900
- EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning,D. Wu, R. Ullah, P. Rodgers, P. Kilpatrick, I. Spence, B. Varghese. IEEE Transactions on Parallel and Distributed Systems (2024)
teaching
Teaching
, , 1900
Queen’s University of Belfast
- CSC3067 Video Analytic and Machine Learning - Lab Demonstrator
- CSC7061 Java Programming - Lab Demonstrator
work
Work
DeepGlint Ltd., Algorithm Engineer, Sep. 2018 - Dec. 2019, DNN Pruning, Quantization, Knowledge Distillation, Reinforcement Learning.
ZhiWei Ltd., Data Engineer, Jun. 2015 - Jun. 2017, Social Media Data Mining.