85 citations · 85 across the 3 of their papers we have counts for
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cs.LG2022
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…
cs.LG2020
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…