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…