IEEE

SnapCFL: A Pre-Clustering-Based Clustered Federated Learning Framework for Data and System Heterogeneities

Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...
Frontiers

Association of pan-immune-inflammation value and atherogenic index of plasma with chronic coronary syndrome in non-alcoholic fatty liver disease patients

1 Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China 2 Department of Cardiology, The First People’s Hospital of Jinzhong, Jinzhong, Shanxi, China ...
IEEE

Principal Angle-based Clustered Federated Learning with Local Differential Privacy for Heterogeneous Data

Abstract: Local differential privacy federated learning has attracted wide attention because it can solve the problem of data islands without damaging data privacy, but it faces data heterogeneity ...