2 papers
cs.LG2026
Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction
Ruth Amey, Muhammad Arifur Rahman, Taha Osman +4
Federated learning has emerged as a potential solution to privacy concerns associated with using sensitive health data for training predictive models, particularly in personalised…
cs.HC2026
A Platform-Agnostic Multimodal Digital Human Modelling Framework: Neurophysiological Sensing in Game-Based Interaction
Daniel J. Buxton, Mufti Mahmud, Jordan J. Bird +2
Digital Human Modelling (DHM) is increasingly shaped by advances in AI, wearable biosensing, and interactive digital environments, particularly in research addressing accessibility…