Publications
Published papers :
F. Pase*, B. isik*, D. Gunduz, S. Koyejo, T. Weissman, M. Zorzi. "Adaptive Compression in Federated Learning via Side Information," International Conference on Artificial Intelligence and Statistics (AISTATS) 2024 .
P. Talli, F. Pase, F. Chiariotti, A. Zanella, M. Zorzi. "Effective Communication with Dynamic Feature Compression," IEEE Transactions on Communications 2024.
F. Pase*, B. isik*, D. Gunduz, S. Koyejo, T. Weissman, M. Zorzi. "Leveraging Side Information for Communication-Efficient Federated Learning," Federated Learning Workshop @ International Conference on Machine Learning (ICML) 2023.
F. Pase, S. Kobus, D. Gunduz, M. Zorzi. "Semantic Communications of Learnable Concepts," IEEE International Symposium on Information Theory, Jun. 2023.
F. Pase*, B. isik*, D. Gunduz, T. Weissman, M. Zorzi. "Sparse Random Networks for Communication‑Efficient Federated Learning," International Conference on Learning Representation (ICLR) 2023. [Link]
F.Pase, D. Gunduz, M. Zorzi. "Rate-Constrained Remote Contextual Bandits," IEEE Journal on Selected Areas on Information Theory - Special Issue on Modern Compression. [Link]
P. Talli, F. Pase, F. Chiariotti, A. Zanella, M. Zorzi. "Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression," IEEE INFOCOM Workshop on Wireless Sensing and Actuating Robotic Networks (WISARN 2023). [Link]
S. Cavallero, N. Sarcone Grande, F. Pase, M. Giordani, J. Eichinger, R. Verdone, M. Zorzi. "A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations," IEEE International Conference on Communications 2023.
F.Pase*, B. isik*, D. Gunduz, T. Weissman, M. Zorzi. “Efficient Federated Random Subnetwork Training,” NeurIPS Workshop on Federated Learning: Recent Advances and New Challenges (FL-NeurIPS'22) - Oral Presentation.
F. Pase et al. “Distributed Resource Allocation for URLLC in IIoT Scenario: A Multi-Armed Bandit Approach,” IEEE Global Communications Conference Workshop 2022.
F.Pase, D. Gunduz, M. Zorzi. "Remote Contextual Bandits," IEEE International Symposium on Information Theory, Jun. 2022.
G. Cuozzo, S. Cavallero, F. Pase, M. Giordani, J. Eichinger, C. Buratti, R. Verdone, M. Zorzi. "A full-stack end-to-end analysis to enable URLLC in a 5G-NR IIoT Network Architecture," European Conference on Networks and Communications, Jun. 2022.
F. Pase, M. Giordani, M. Zorzi. "On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI," IEEE International Conference on Communications - 2nd Workshop on Edge Learning for 5G Mobile Networks and Beyond, Jun. 2021. [Link]
F. Venturini, F. Mason, F. Pase, F. Chiariotti, A. Testolin, A. Zanella, M. Zorzi. "Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control," IEEE Transactions on Cognitive Communications and Networking, 2021 [Link]
F.Pase, F. Chiariotti, A. Zanella, M. Zorzi. "Bike Sharing and Urban Mobility in a Post-Pandemic World," IEEE Access, Vol. 8 Pag. 187291-187306, Oct. 2020 [Link]
F. Venturini, F. Mason, F. Pase, F. Chiariotti, A. Testolin, A. Zanella, M. Zorzi. "Distributed Reinforcement Learning for Flexible UAV Swarm Control with Transfer Learning Capabilities," MobiSys 2020, ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2020) [Link]
Patents:
Distributed Learning for Resource Allocation in Wireless Networks: Filed in collaboration with Huawei Technologies, Munich (DE).
Efficient Client Participation in Federated Learning via Adaptive non-iid Strategies Using Loss/Accuracy Trajectory Analysis: Filed in collaboration with Nokia Bell Labs, Cambridge (UK).
Improving Foundational Model Training through Parameter-Efficient Federated Learning (FoSSiL): Filed in collaboration with Nokia Bell Labs, Cambridge (UK).
Book Chapters :
F. Pase, F. Mason, P. Testolina, M. Lecci, A. Zanella and M. Zorzi. "Smart Data Gathering for Network Optimization", in Machine learning and 5G/6G networks: interplay and synergies. CNIT. Technical Report, 2021. [Link]