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Publication search results
found 181 matches
- 2025
- Emma Chiaramello, Carla-Fabiana Chiasserini, Francesco Malandrino, Alessandro Nordio, Marta Parazzini, Alvaro Valcarce:
Cluster-then-Match: Efficient Management of Human-Centric, Cell-Less 6G Networks. WoWMoM 2025: 167-176 - Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. WoWMoM 2025: 147-156 - 2024
- Francesco Malandrino, Alessandro Nordio, Carla-Fabiana Chiasserini:
Eavesdropping with intelligent reflective surfaces: Near-optimal configuration cycling. Comput. Networks 243: 110284 (2024) - Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. IEEE/ACM Trans. Netw. 32(2): 1600-1615 (2024) - Carla-Fabiana Chiasserini, Simone Bizzarri, Cristina Emilia Costa, Gianluca Davoli, Jaime Llorca, Vincenzo Luciano Lucrezia, Francesco Malandrino, Sebastiano Miano, Antonella Molinaro, Sergio Palazzo, Fulvio Risso, Daniele Ronzani, Stefano Salsano, Giacomo Verticale:
Morphable Networks For Cross-Layer And Cross-Domain Programmability: A Novel Network Paradigm. IEEE Veh. Technol. Mag. 19(3): 68-77 (2024) - G. Di Giacomo, Francesco Malandrino, Carla-Fabiana Chiasserini:
Generosity Pays Off: A Game-Theoretic Study of Cooperation in Decentralized Learning. ICC Workshops 2024: 105-110 - Chetna Singhal, Y. Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini:
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. INFOCOM 2024: 1621-1630 - Francesco Malandrino, Carla-Fabiana Chiasserini:
Distributed Learning with Memory: Optimizing Model Usage Across Training Tasks. MedComNet 2024: 1-4 - Emma Chiaramello, Carla-Fabiana Chiasserini, Francesco Malandrino, Alessandro Nordio, Marta Parazzini, Alvaro Valcarce:
Cluster-then-Match: Efficient Management of Human-Centric, Cell-Less 6G Networks. CoRR abs/2402.14344 (2024) - Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. CoRR abs/2402.14346 (2024) - Francesco Malandrino, Alessandro Nordio, Carla-Fabiana Chiasserini:
Eavesdropping with Intelligent Reflective Surfaces: Near-Optimal Configuration Cycling. CoRR abs/2402.14737 (2024) - Chetna Singhal, Yashuo Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini:
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. CoRR abs/2404.08060 (2024) - Carla-Fabiana Chiasserini, Francesco Malandrino, Nuria Molner, Zhiqiang Zhao:
Combining Relevance and Magnitude for Resource-Aware DNN Pruning. CoRR abs/2405.13088 (2024) - 2023
- Jorge Martín-Pérez, Nuria Molner, Francesco Malandrino, Carlos Jesus Bernardos, Antonio de la Oliva, David Gomez-Barquero:
Choose, Not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN. IEEE Commun. Mag. 61(4): 58-63 (2023) - Gil Einziger, Gabriel Scalosub, Carla-Fabiana Chiasserini, Francesco Malandrino:
Virtual Service Embedding With Time-Varying Load and Provable Guarantees. IEEE Trans. Cloud Comput. 11(3): 2693-2710 (2023) - Francesco Malandrino, Carla-Fabiana Chiasserini, Gian Michele Dell'Aera:
Edge-Powered Assisted Driving For Connected Cars. IEEE Trans. Mob. Comput. 22(2): 874-889 (2023) - Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Efficient Distributed DNNs in the Mobile-Edge-Cloud Continuum. IEEE/ACM Trans. Netw. 31(4): 1702-1716 (2023) - Francesco Malandrino, Carla-Fabiana Chiasserini, Nuria Molner, Antonio de la Oliva:
Network Support for High-Performance Distributed Machine Learning. IEEE/ACM Trans. Netw. 31(1): 264-278 (2023) - Yashuo Wu, Carla-Fabiana Chiasserini, Francesco Malandrino, Marco Levorato:
Invited Paper: Enhancing Privacy in Federated Learning via Early Exit. ApPLIED@PODC 2023: 10:1-10:5 - Francesco Malandrino, Carla-Fabiana Chiasserini:
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning. ICMLC 2023: 76-79 - Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. INFOCOM 2023: 1-10 - 2022
- Chiara Ravazzi, Francesco Malandrino, Fabrizio Dabbene:
Towards Proactive Moderation of Malicious Content via Bot Detection in Fringe Social Networks. IEEE Control. Syst. Lett. 6: 2960-2965 (2022) - Alfonso Guarino, Delfina Malandrino, Francesco Marzullo, Antonio Torre, Rocco Zaccagnino:
Adaptive talent journey: Optimization of talents' growth path within a company via Deep Q-Learning. Expert Syst. Appl. 209: 118302 (2022) - Falko Dressler, Carla-Fabiana Chiasserini, Frank H. P. Fitzek, Holger Karl, Renato Lo Cigno, Antonio Capone, Claudio Casetti, Francesco Malandrino, Vincenzo Mancuso, Florian Klingler, Gianluca Rizzo:
V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing. IEEE Netw. 36(3): 24-31 (2022) - Jorge Martín-Pérez, Francesco Malandrino, Carla-Fabiana Chiasserini, Milan Groshev, Carlos J. Bernardos:
KPI Guarantees in Network Slicing. IEEE/ACM Trans. Netw. 30(2): 655-668 (2022) - Zana Limani Fazliu, Francesco Malandrino, Carla-Fabiana Chiasserini, Alessandro Nordio:
A Belief Propagation Solution for Beam Coordination in mmWave Vehicular Networks. IEEE Trans. Wirel. Commun. 21(12): 10809-10823 (2022) - Alberto Tarable, Francesco Malandrino, Laura Dossi, Roberto Nebuloni, Giuseppe Virone, Alessandro Nordio:
Optimization of IRS-Aided Sub-THz Communications Under Practical Design Constraints. IEEE Trans. Wirel. Commun. 21(12): 10824-10838 (2022) - Francesco Malandrino, Carla-Fabiana Chiasserini:
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost. PerCom Workshops 2022: 509-514 - Francesco Malandrino, Emma Chiaramello, Marta Parazzini, Carla-Fabiana Chiasserini:
Performance and EMF Exposure Trade-offs in Human-centric Cell-free Networks. WiOpt 2022: 377-382 - Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. WONS 2022: 1-4
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