2021
Cross-Silo Federated Training in the Cloud with Diversity Scaling and Semi-Supervised Learning
ICASSP 2021accepted
Federated learning is a machine learning approach that allows a loose federation of trainers to collaboratively improve a shared model, while making minimum assumptions on central availability of data. In cross-siloed federated learning, data is partitioned into silos, each with an associated traine…