Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation. - Andrea Varischio; Francesco Mandruzzato; Marcello Bullo; Marco Giordani; Paolo Testolina; Michele Zorzi (ICC, 2021)

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. - Ioannis Mavromatis; Adrián Sánchez-Mompó; Francesco Raimondo; James Pope; Marcello Bullo; Ingram Weeks; Vijay Kumar; Pietro Edoardo Carnelli; George Oikonomou; Theodoros Spyridopoulos; Aftab Khan 001 (CCNC, 2023)

Sustainable Edge Intelligence Through Energy-Aware Early Exiting. - Marcello Bullo; Seifallah Jardak; Pietro Edoardo Carnelli; Deniz Gündüz (MLSP, 2023)

Energy-Aware Dynamic Neural Inference. - Marcello Bullo; Seifallah Jardak; Pietro Carnelli; Deniz Gündüz (CoRR, 2024)

Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning. - Alexander Herzog; Robbie Southam; Othmane Belarbi; Saif Anwar; Marcello Bullo; Pietro Carnelli; Aftab Khan 001 (IEEE Trans. Green Commun. Netw., 2024)

Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data. - Marcello Bullo; Amir Ashtari Gargari; Paolo Testolina; Michele Zorzi; Marco Giordani (CoRR, 2025)