New computational tool helps scientists interpret complex single-cell data

Researchers from Turku Bioscience Center at the University of Turku, Finland, have developed a new computational method to ...
IEEE

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams

Abstract: Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The ...
IEEE

Graph-Based Joint Client Clustering and Resource Allocation for Wireless Distributed Learning: A New Hierarchical Federated Learning Framework With Non-IID Data

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...