85 citations · 85 across the 3 of their papers we have counts for
4 papers
Asynchronous Collaborative Learning Across Data Silos
Tiffany Tuor, Joshua Lockhart, Daniele Magazzeni
Machine learning algorithms can perform well when trained on large datasets. While large organisations often have considerable data assets, it can be difficult for these assets to…
Overcoming Noisy and Irrelevant Data in Federated Learning
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko +2
Many image and vision applications require a large amount of data for model training. Collecting all such data at a central location can be challenging due to data privacy and comm…
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems
Tiffany Tuor, Shiqiang Wang, Kin K. Leung +1
Large-scale distributed computing systems often contain thousands of distributed nodes (machines). Monitoring the conditions of these nodes is important for system management purpo…
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis +4
Emerging technologies and applications including Internet of Things (IoT), social networking, and crowd-sourcing generate large amounts of data at the network edge. Machine learnin…