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

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

collaborators

2 papers

cs.CR2026

MLQENABLER: Enabling Secure Machine Learning Queries over Encrypted Database in Cloud Computing

Xu Zhou, Haoyang Chen, Xinyu Lei

In cloud computing, the public cloud service providers (CSPs) can provide cloud storage as the primary service while providing additional machine learning (ML)-based services by us…

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…