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 ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
IEEE

Deep Learning-Based PM2.5 Concentration Estimation Using Convolutional Neural Network on Environmental Image Data

Abstract: Globalization and rapid progress in technology is leading to the pollution of the environment severely affecting public health and leading to deaths. Air quality in most of the cities at ...