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Publication search results
found 86 matches
- 2024
- Andrea Silvi, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone:
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access 12: 57043-57058 (2024) - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Analysis of micro- vs. macro-flows management in QKD-secured edge computing. Pervasive Mob. Comput. 102: 101937 (2024) - Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. ICML 2024 - Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli:
PEM: Prototype-based Efficient MaskFormer for Image Segmentation. CoRR abs/2402.19422 (2024) - Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR abs/2406.01116 (2024) - Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. CoRR abs/2406.01820 (2024) - Vinay Kumar, Claudio Cicconetti, Marco Conti, Andrea Passarella:
Routing in Quantum Networks with End-to-End Knowledge. CoRR abs/2407.14407 (2024) - 2023
- Claudio Cicconetti, Marco Conti, Andrea Passarella:
Service differentiation and fair sharing in distributed quantum computing. Pervasive Mob. Comput. 90: 101758 (2023) - Carlo Puliafito, Claudio Cicconetti, Marco Conti, Enzo Mingozzi, Andrea Passarella:
Balancing local vs. remote state allocation for micro-services in the cloud-edge continuum. Pervasive Mob. Comput. 93: 101808 (2023) - Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) 2023: 2255-2263 - Claudio Cicconetti, Marco Conti, Eufemia Lella, Pietro Noviello, Gennaro Davide Paduanelli, Andrea Passarella, Elisabetta Storelli:
A Prototype for QKD-secure Serverless Computing with ETSI MEC. SMARTCOMP 2023: 189-190 - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Qkd@Edge: Online Admission Control of Edge Applications with QKD-secured Communications. SMARTCOMP 2023: 65-73 - Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV 2023: 444-454 - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Service Differentiation and Fair Sharing in Distributed Quantum Computing. CoRR abs/2301.03977 (2023) - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Qkd@Edge: Online Admission Control of Edge Applications with QKD-secured Communications. CoRR abs/2305.02015 (2023) - Eros Fanì, Marco Ciccone, Barbara Caputo:
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. CoRR abs/2309.13336 (2023) - Debora Caldarola, Barbara Caputo, Marco Ciccone:
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR abs/2310.01366 (2023) - Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - Riccardo Zaccone, Carlo Masone, Marco Ciccone:
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum. CoRR abs/2311.18578 (2023) - 2022
- Claudio Cicconetti, Marco Conti, Andrea Passarella:
In-Network Computing With Function as a Service at the Edge. Computer 55(9): 65-73 (2022) - Carlo Puliafito, Claudio Cicconetti, Marco Conti, Enzo Mingozzi, Andrea Passarella:
Stateful Function as a Service at the Edge. Computer 55(9): 54-64 (2022) - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Quality of Service in Quantum Networks. IEEE Netw. 36(5): 24-31 (2022) - Claudio Cicconetti, Marco Conti, Andrea Passarella:
FaaS execution models for edge applications. Pervasive Mob. Comput. 86: 101689 (2022) - Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo:
Incremental Learning in Semantic Segmentation from Image Labels. CVPR 2022: 4361-4371 - Debora Caldarola, Barbara Caputo, Marco Ciccone:
Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) 2022: 654-672 - Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti:
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. ICML 2022: 2638-2657 - Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo:
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR 2022: 3376-3382 - Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech:
Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. IOLTS 2022: 1-7 - Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo:
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. IROS 2022: 11504-11511 - Claudio Cicconetti, Marco Conti, Andrea Passarella:
Resource Allocation in Quantum Networks for Distributed Quantum Computing. SMARTCOMP 2022: 124-132
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