11 citations · 25 across the 4 of their papers we have counts for
4 papers
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
Jingwei Sun, Zhixu Du, Anna Dai +4
Vertical federated learning (VFL) enables a service provider (i.e., active party) who owns labeled features to collaborate with passive parties who possess auxiliary features to im…
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy detection and continuous out…
Importance of methodological choices in data manipulation for validating epileptic seizure detection models
Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder that affects a significant portion of the human population and imposes serious risks in the daily life of patients. Despite advances in…
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Lara Orlandic, Tomas Teijeiro, David Atienza
Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with su…