This paper aims to address the major challenges of Federated Learning (F...
Transformer-based architectures have been the subject of research aimed ...
Federated learning can be used to train machine learning models on the e...
We propose using federated learning, a decentralized on-device learning
...
We study the effectiveness of several techniques to personalize end-to-e...