Federated learning with hierarchical clustering of local updates to improve training on non-IID data
(2020)
Journal Article
Fan. (2020). Federated learning with hierarchical clustering of local updates to improve training on non-IID data. International Joint Conference on Neural Networks, https://doi.org/10.1109/IJCNN48605.2020.9207469
Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed data. However in settings where data is distributed in a non-iid (not independent and identically distributed) fashion -- as is typi... Read More about Federated learning with hierarchical clustering of local updates to improve training on non-IID data.