Publications: Learning

MARL: Multimodal Attentional Representation Learning for Disease Prediction

Existing learning models often utilise CT-scan images to predict lung diseases. These models are posed by high uncertainties that affect lung segmentation and visual feature learning. We introduce M

ODL: Opportunistic Distributed Learning for Intelligent IoT systems

In this paper, we discuss a general framework, namely Opportunistic Distributed Learning (ODL), which allows any node in the network to initiate a learning task while opportunistically leveraging lo