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

Joint Channel Estimation and Data Detection for OTFS Systems: A Lightweight Deep Learning Framework With a Novel Data Augmentation Method

Abstract: Orthogonal time frequency space (OTFS) modulation is expected to address the performance degradation of orthogonal frequency division multiplexing (OFDM) modulated signals, particularly due ...