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Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
In corso di stampa Fanì, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco
Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients
2024 Silvi, Andrea; Rizzardi, Andrea; Caldarola, Debora; Caputo, Barbara; Ciccone, Marco
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
2024 Iurada, Leonardo; Ciccone, Marco; Tommasi, Tatiana
PEM: Prototype-Based Efficient MaskFormer for Image Segmentation
2024 Cavagnero, Niccolo; Rosi, Gabriele; Cuttano, Claudia; Pistilli, Francesca; Ciccone, Marco; Averta, Giuseppe; Cermelli, Fabio
Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models
2023 Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
2023 Fani', Eros; Ciccone, Marco; Caputo, Barbara
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
2023 Shenaj, Donald; Fani, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, Umberto; Ciccone, Marco; Zanuttigh, Pietro; Caputo, Barbara
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning
2023 Caldarola, Debora; Caputo, Barbara; Ciccone, Marco
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
2022 Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
2022 Fantauzzo, Lidia; Fani', Eros; Caldarola, Debora; Tavera, Antonio; Cermelli, Fabio; Ciccone, Marco; Caputo, Barbara
Improving Generalization in Federated Learning by Seeking Flat Minima
2022 Caldarola, Debora; Caputo, Barbara; Ciccone, Marco
Incremental Learning in Semantic Segmentation from Image Labels
2022 Cermelli, Fabio; Fontanel, Dario; Tavera, Antonio; Ciccone, Marco; Caputo, Barbara
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
2022 Zaccone, Riccardo; Rizzardi, Andrea; Caldarola, Debora; Ciccone, Marco; Caputo, Barbara
Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead
2022 Cavagnero, Niccolo'; Dos Santos, Fernando; Ciccone, Marco; Averta, GIUSEPPE BRUNO; Tommasi, Tatiana; Rech, Paolo
Cluster-driven Graph Federated Learning over Multiple Domains
2021 Caldarola, Debora; Mancini, Massimiliano; Galasso, Fabio; Ciccone, Marco; Rodolà, Emanuele; Caputo, Barbara
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
2021 Planamente, Mirco; Plizzari, Chiara; Cannici, Marco; Ciccone, Marco; Strada, Francesco; Bottino, Andrea; Matteucci, Matteo; Caputo, Barbara
N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation
2021 Cannici, Marco; Plizzari, Chiara; Planamente, Mirco; Ciccone, Marco; Bottino, Andrea; Caputo, Barbara; Matteucci, Matteo
Public Information Representation for Adversarial Team Games
2021 Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Accelerating Heterogeneous Federated Learning with Closed-form Classifiers / Fanì, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco. - ELETTRONICO. - 1:(In corso di stampa), pp. 1-20. (Intervento presentato al convegno Forty-first International Conference on Machine Learning). | In corso di stampa | Fanì,ErosCamoriano,RaffaelloCaputo,BarbaraCiccone,Marco | - |
| Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients / Silvi, Andrea; Rizzardi, Andrea; Caldarola, Debora; Caputo, Barbara; Ciccone, Marco. - In: IEEE ACCESS. - ISSN 2169-3536. - 12:(2024), pp. 57043-57058. [10.1109/ACCESS.2024.3387453] | 1-gen-2024 | Caldarola, DeboraCaputo, BarbaraCiccone, Marco + | FedSeq___IEEE_Open_Access___Main_manuscript (1).pdf; Accelerating_Federated_Learning_via_Sequential_Training_of_Grouped_Heterogeneous_Clients.pdf |
| Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning / Iurada, Leonardo; Ciccone, Marco; Tommasi, Tatiana. - (2024), pp. 16142-16151. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition (CVPR), 2024 tenutosi a Seattle, WA (USA) nel 16-22 June 2024) [10.1109/CVPR52733.2024.01528]. | 1-gen-2024 | Leonardo IuradaMarco CicconeTatiana Tommasi | Iurada_Finding_Lottery_Tickets_in_Vision_Models_via_Data-driven_Spectral_Foresight_CVPR_2024_paper.pdf; Finding_Lottery_Tickets_in_Vision_Models_via_Data-Driven_Spectral_Foresight_Pruning.pdf |
| PEM: Prototype-Based Efficient MaskFormer for Image Segmentation / Cavagnero, Niccolo; Rosi, Gabriele; Cuttano, Claudia; Pistilli, Francesca; Ciccone, Marco; Averta, Giuseppe; Cermelli, Fabio. - ELETTRONICO. - 34:(2024), pp. 15804-15813. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition (CVPR) tenutosi a Seattle WA (USA) nel 16-22 June 2024) [10.1109/cvpr52733.2024.01496]. | 1-gen-2024 | Cavagnero, NiccoloRosi, GabrieleCuttano, ClaudiaPistilli, FrancescaCiccone, MarcoAverta, GiuseppeCermelli, Fabio | Cavagnero_PEM_Prototype-based_Efficient_MaskFormer_for_Image_Segmentation_CVPR_2024_paper.pdf; PEM_Prototype-Based_Efficient_MaskFormer_for_Image_Segmentation.pdf |
| Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models / Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco. - ELETTRONICO. - 1:(2023), pp. 1-19. (Intervento presentato al convegno Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023 tenutosi a New Orleans, LA (USA) nel Dec 16 2023). | 1-gen-2023 | Fani', ErosCamoriano, RaffaelloCaputo, BarbaraCiccone, Marco | 55_fed3r_recursive_ridge_regressi.pdf |
| FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving / Fani', Eros; Ciccone, Marco; Caputo, Barbara. - ELETTRONICO. - (2023), pp. 81-84. (Intervento presentato al convegno 2023 I-RIM Conference tenutosi a Roma (ITA) nel 20-22 ottobre 2023) [10.5281/zenodo.10722478]. | 1-gen-2023 | Eros Fani'Marco CicconeBarbara Caputo | file.pdf |
| Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning / Shenaj, Donald; Fani, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, Umberto; Ciccone, Marco; Zanuttigh, Pietro; Caputo, Barbara. - (2023), pp. 444-454. (Intervento presentato al convegno IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) tenutosi a Waikoloa, Hawaii (USA) nel 02-07 January 2023) [10.1109/WACV56688.2023.00052]. | 1-gen-2023 | Fani,ErosCaldarola,DeboraTavera,AntonioCiccone,MarcoCaputo,Barbara + | Learning_Across_Domains_and_Devices_Style-Driven_Source-Free_Domain_Adaptation_in_Clustered_Federated_Learning.pdf; 2210.02326_compressed.pdf |
| Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning / Caldarola, Debora; Caputo, Barbara; Ciccone, Marco. - ELETTRONICO. - (2023), pp. 2255-2263. (Intervento presentato al convegno International Conference on Computer Vision Workshop 2023 tenutosi a Parigi (FR) nel 02-06 October 2023) [10.1109/ICCVW60793.2023.00240]. | 1-gen-2023 | Caldarola, DeboraCaputo, BarbaraCiccone, Marco | Caldarola_Window-Based_Model_Averaging_Improves_Generalization_in_Heterogeneous_Federated_Learning_ICCVW_2023_paper.pdf; Window-based_Model_Averaging_Improves_Generalization_in_Heterogeneous_Federated_Learning.pdf |
| A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving / Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola. - 162:(2022), pp. 2638-2657. (Intervento presentato al convegno 39th International Conference on Machine Learning tenutosi a Baltimore, Maryland (USA) nel 17-23 July 2022). | 1-gen-2022 | Carminati, LucaCiccone, Marco + | carminati22a.pdf |
| FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving / Fantauzzo, Lidia; Fani', Eros; Caldarola, Debora; Tavera, Antonio; Cermelli, Fabio; Ciccone, Marco; Caputo, Barbara. - (2022), pp. 11504-11511. (Intervento presentato al convegno 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) tenutosi a Kyoto (JPN) nel 23-27 October 2022) [10.1109/IROS47612.2022.9981098]. | 1-gen-2022 | Fantauzzo,LidiaFani',ErosCaldarola,DeboraTavera,AntonioCermelli,FabioCiccone,MarcoCaputo,Barbara | FedDrive__Generalizing_Federated_Learning_to_Semantic_Segmentation_in_Autonomous_Driving.pdf; FedDrive_Generalizing_Federated_Learning_to_Semantic_Segmentation_in_Autonomous_Driving.pdf |
| Improving Generalization in Federated Learning by Seeking Flat Minima / Caldarola, Debora; Caputo, Barbara; Ciccone, Marco. - XXIII:(2022), pp. 654-672. (Intervento presentato al convegno Computer Vision–ECCV 2022: 17th European Conference tenutosi a Tel Aviv nel 23-27 Ottobre 2022) [10.1007/978-3-031-20050-2_38]. | 1-gen-2022 | Caldarola,DeboraCaputo,BarbaraCiccone,Marco | 2203.11834.pdf; 978-3-031-20050-2_38.pdf |
| Incremental Learning in Semantic Segmentation from Image Labels / Cermelli, Fabio; Fontanel, Dario; Tavera, Antonio; Ciccone, Marco; Caputo, Barbara. - ELETTRONICO. - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition:(2022), pp. 4361-4371. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition 2022 tenutosi a New Orleans, Louisiana (USA) nel 18-24 June 2022) [10.1109/CVPR52688.2022.00433]. | 1-gen-2022 | Fabio CermelliDario FontanelAntonio TaveraMarco CicconeBarbara Caputo | 2112.01882.pdf; Incremental_Learning_in_Semantic_Segmentation_from_Image_Labels.pdf |
| Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients / Zaccone, Riccardo; Rizzardi, Andrea; Caldarola, Debora; Ciccone, Marco; Caputo, Barbara. - (2022), pp. 3376-3382. (Intervento presentato al convegno 26th International Conference on Pattern Recognition (ICPR) tenutosi a Montréal, Québec (Canada) nel 21-25 August 2022) [10.1109/ICPR56361.2022.9956084]. | 1-gen-2022 | Riccardo ZacconeDebora CaldarolaMarco CicconeBarbara Caputo + | 2201.10899.pdf; Speeding_up_Heterogeneous_Federated_Learning_with_Sequentially_Trained_Superclients.pdf |
| Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead / Cavagnero, Niccolo'; Dos Santos, Fernando; Ciccone, Marco; Averta, GIUSEPPE BRUNO; Tommasi, Tatiana; Rech, Paolo. - ELETTRONICO. - (2022). (Intervento presentato al convegno IOLTS - The 28th IEEE International Symposium on On-Line Testing and Robust System Design tenutosi a Torino (ITA) nel 12-14 Settembre 2022) [10.1109/IOLTS56730.2022.9897813]. | 1-gen-2022 | Niccolo' CavagneroMarco CicconeGiuseppe AvertaTatiana Tommasi + | iolts_2022.pdf; Transient-Fault-Aware_Design_and_Training_to_Enhance_DNNs_Reliability_with_Zero-Overhead.pdf |
| Cluster-driven Graph Federated Learning over Multiple Domains / Caldarola, Debora; Mancini, Massimiliano; Galasso, Fabio; Ciccone, Marco; Rodolà, Emanuele; Caputo, Barbara. - ELETTRONICO. - (2021), pp. 2743-2752. (Intervento presentato al convegno Workshop Learning from Limited and Imperfect Data in IEEE Conference on Computer Vision and Pattern Recognition tenutosi a Nashville, TN (USA) nel 19-25 June 2021) [10.1109/CVPRW53098.2021.00309]. | 1-gen-2021 | Debora CaldarolaMarco CicconeBarbara Caputo + | Cluster-driven_Graph_Federated_Learning_over_Multiple_Domains_LLID21.pdf; Cluster-driven_Graph_Federated_Learning_over_Multiple_Domains.pdf |
| DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation / Planamente, Mirco; Plizzari, Chiara; Cannici, Marco; Ciccone, Marco; Strada, Francesco; Bottino, Andrea; Matteucci, Matteo; Caputo, Barbara. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - STAMPA. - 6:4(2021), pp. 6616-6623. [10.1109/LRA.2021.3093870] | 1-gen-2021 | Planamente,MircoPlizzari,ChiaraCiccone, MarcoStrada, FrancescoBottino, AndreaCaputo, Barbara + | IROS21.pdf; DA4Event_Towards_Bridging_the_Sim-to-Real_Gap_for_Event_Cameras_Using_Domain_Adaptation.pdf |
| N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation / Cannici, Marco; Plizzari, Chiara; Planamente, Mirco; Ciccone, Marco; Bottino, Andrea; Caputo, Barbara; Matteucci, Matteo. - ELETTRONICO. - (2021), pp. 1342-1347. (Intervento presentato al convegno CVPR 2021 Workshop on Event-based Vision tenutosi a Virtual conference nel 19-25 June 2021) [10.1109/CVPRW53098.2021.00148]. | 1-gen-2021 | Chiara PlizzariMirco PlanamenteMarco CicconeAndrea BottinoBarbara Caputo + | N-ROD_a_Neuromorphic_Dataset_for_Synthetic-to-Real_Domain_Adaptation.pdf |
| Public Information Representation for Adversarial Team Games / Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola. - (2021). (Intervento presentato al convegno Cooperative AI Workshop - NeurIPS 2021 tenutosi a Virtual nel 14 Dicembre 2021). | 1-gen-2021 | Luca CarminatiMarco Ciccone + | 2201.10377.pdf |