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: ...
TMCnet

Evolving Data Quality: From Static Gates to Continuous Observability

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

Charts can be social artifacts that communicate more than just data

The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the ...
Security Boulevard

From Firewalls to Zero Trust: 10 Best Practices for Next-Gen Business Data Security

In today’s ever-evolving digital landscape, businesses must establish robust data security strategies to safeguard sensitive ...
IEEE

SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis

Abstract: Supervisory control and data acquisition (SCADA) systems collect vast amounts of multi-sensor monitoring data, which is widely used in the intelligent fault diagnosis of wind turbines with ...