most citedHandling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 2 cited

Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion

Xu Zhou, Xinyu Lei, Cong Yang +3

Federated learning (FL) supports distributed training of a global machine learning model across multiple devices with the help of a central server. However, data heterogeneity acro…