Francesco Pase

Orcid: 0000-0003-0116-8852

According to our database1, Francesco Pase authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Effective Communication with Dynamic Feature Compression.
CoRR, 2024

A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT.
CoRR, 2024

2023
Communication-Efficient Federated Learning through Importance Sampling.
CoRR, 2023

Semantic Communication of Learnable Concepts.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression.
Proceedings of the IEEE INFOCOM 2023, 2023

Sparse Random Networks for Communication-Efficient Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Rate-Constrained Remote Contextual Bandits.
IEEE J. Sel. Areas Inf. Theory, December, 2022

Remote Contextual Bandits.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Enabling URLLC in 5G NR IIoT Networks: A Full-Stack End-to-End Analysis.
Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control.
IEEE Trans. Cogn. Commun. Netw., 2021

On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
Bike Sharing and Urban Mobility in a Post-Pandemic World.
IEEE Access, 2020

Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities.
Proceedings of the DroNet@MobiSys 2020: Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, 2020


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