IEEE

Heterogeneity-Aware Clustering and Intra-Cluster Uniform Data Sampling for Federated Learning

Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
IEEE

Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Abstract: The density peaks clustering algorithm is one of the density-based clustering algorithms. This algorithm has several advantages, including not requiring a preset number of clusters, ...