Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. - Christos Chrysanthos Nikolaidis; Vasileios Perifanis; Nikolaos Pavlidis; Pavlos S. Efraimidis (FMEC, 2023)

An Extensive Overview of Feature Representation Techniques for Molecule Classification. - Nikolaos Pavlidis; Christos Chrysanthos Nikolaidis; Vasileios Perifanis; Anastasia Papadopoulou; Pavlos S. Efraimidis; Avi Arampatzis (PCI, 2023)

A Federated Explainable AI Model for Breast Cancer Classification. - Eleni Briola; Christos Chrysanthos Nikolaidis; Vasileios Perifanis; Nikolaos Pavlidis; Pavlos S. Efraimidis (EICC, 2024)

Federated Anomaly Detection for Early-Stage Diagnosis of Autism Spectrum Disorders using Serious Game Data. - Nikolaos Pavlidis; Vasileios Perifanis; Eleni Briola; Christos Chrysanthos Nikolaidis; Eleftheria Katsiri; Pavlos S. Efraimidis; Despina Elizabeth Filippidou (CoRR, 2024)

Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking. - Nikolaos Pavlidis; Andreas Sendros; Theodoros Tsiolakis; Periklis Kostamis; Christos Karasoulas; Eleni Briola; Christos Chrysanthos Nikolaidis; Vasileios Perifanis; George Drosatos; Eleftheria Katsiri; Despina Elisavet Filippidou; Anastasios Manos; et al. (J. Sens. Actuator Networks, 2025)

Advancing elderly social care dropout prediction with federated learning: client selection and imbalanced data management. - Christos Chrysanthos Nikolaidis; Pavlos S. Efraimidis (Clust. Comput., 2025)

A study of membership inference attacks on a federated health care application. - Christos Chrysanthos Nikolaidis; Pavlos S. Efraimidis (Computing, 2025)