We introduce a library, Dataset Grouper, to create large-scale
group-str...
Federated learning (FL) is a general framework for learning across
heter...
Federated learning methods typically learn a model by iteratively sampli...
The federated learning (FL) framework trains a machine learning model us...
Personalization methods in federated learning aim to balance the benefit...
Federated learning is a distributed machine learning paradigm in which a...
Federated learning (FL) is a machine learning setting where many clients...