IEEE

A Coverage-Aware High-Quality Sensing Data Collection Method in Mobile Crowd Sensing

Abstract: In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd sensing (MCS) by addressing two critical challenges: uncontrollable data quality and inevitable unsensed ...
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 ...

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
JD Supra

GSA Proposes Sweeping AI Data Safeguarding Rules for LLM Contractors

The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...