Privacy-preserving federated learning for in-home monitoring of elderly using wearable biometric sensors. - Mario A. Bochicchio; Sileshi Nibret Zeleke (AIxAS@AI*IA, 2023)

Ensemble Learning for Encrypted Malware Detection and Classification. - Sileshi Nibret Zeleke; Solomon Zemene; Mario A. Bochicchio (ICT4DA, 2023)

Personalized Federated Learning in Edge-Cloud Continuum for Privacy-Preserving Health Informatics: Opportunities and Challenges. - Mario A. Bochicchio; Sileshi Nibret Zeleke (AINA (5), 2024)

Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal. - Sileshi Nibret Zeleke; Mario A. Bochicchio (IEEE Big Data, 2024)

Towards Explainable Federated Learning in Healthcare: A Focus on Heart Arrhythmia Detection. - Sileshi Nibret Zeleke; Mario A. Bochicchio (EXPLIMED@ECAI, 2024)

Encrypted Malicious Network Traffic Detection: Leveraging Attention Mechanism and Markov Chain Sequencing. - Sileshi Nibret Zeleke; Amsalu Fentie Jember; Mario A. Bochicchio (ICT4DA, 2024)

Machine Learning and Artificial Intelligence at the Edge: Federated Learning for Colposcopy Image Analysis. - Mario A. Bochicchio; Amin Tuni Gure; Sileshi Nibret Zeleke (AINA (6), 2025)

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic. - Sileshi Nibret Zeleke; Amsalu Fentie Jember; Mario A. Bochicchio (CoRR, 2025)