IEEE

A Federated Learning-Based Data Augmentation Method for Privacy Preservation Under Heterogeneous Data

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
Agricultural Biodiversity Weblog

A brief history of gap analysis for crop diversity conservation

Many thanks to long-time friend-of-the-blog Dr Colin Khoury for this latest contribution. Conservation gap analysis using Geographic Information System (GIS) tools relies on several sources of ...
Defense One

Under new management: the Pentagon’s autonomous systems get new oversight

Defense Secretary Pete Hegseth ordered the creation of the DRPM-UxS, or direct reporting portfolio manager for unmanned ...
IEEE

Doing More With Less: A Survey of Data Selection Methods for Mathematical Modeling

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...

Benz Defines Maiden Gold Exploration Target at Glenburgh

HIGHLIGHTS: Maiden Glenburgh Exploration Target indicates Glenburgh has the potential to be an emerging major gold system, with the scale, geological architecture and growth poten ...