Published multiple papers on federated learning, edge AI, anomaly detection, and decentralized analytics
Key publications include: 'Anomaly Detection through Unsupervised Federated Learning', 'Dynamic hard pruning of neural networks at the edge of the internet', 'Federated feature selection for cyber-physical systems of systems'
Involved in major EU and national projects: HumanE AI-Net, MARVEL, PNRR-FAIR, PNRR-RESTART, TRANTOR, OK-INSAID, MOTO
Chaired the 2nd IEEE International Workshop on Pervasive and Resource-constrained AI (PeRConAI) at PerCom 2023
Delivered a lecture on Model Compression/Pruning for DNNs at the School on Deep Learning for Autonomous Systems and Smart Cities (Aarhus University, 2023)