2023

• M. Amidzadeh, A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis, Proceedings of the 62^nd IEEE Conference on Decision and Control (CDC), pp. 1326-1333, December 2023 (DOI, pre-print)

• N. Wang and B. Lorenzo, Semantic-Aware Blockchain Architecture Design for Edge-enabled Metaverse, Proceedings of the IEEE 14^th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), pp. 647-654, October 2023 (DOI]

• Y. Wu, B. Lorenzo, and B. Liu, Lifelong Learning for AoI and Energy Tradeoff Optimization in Satellite-Airborne-Terrestrial Edge Computing Networks, Proceedings of the 34^th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September 2023 (DOI)

• H. H. Esmat, B. Lorenzo and W. Shi, Toward Resilient Network Slicing for Satellite-Terrestrial Edge Computing IoT, IEEE Internet of Things Journal 10(16):14621-14645, August 2023 (DOI)

• G. K. Illahi, A. Vaishnav, T. Kämäräinen, M. Siekkinen, and M. Di Francesco, Learning to Predict Head Pose in Remotely-Rendered Virtual Reality, Proceedings of the 14^th ACM Multimedia Systems Conference (MMSys), pp. 27-38, June 2023 (DOI, pre-print)