Alert button
Picture for Marco Ciccone

Marco Ciccone

Alert button

PEM: Prototype-based Efficient MaskFormer for Image Segmentation

Add code
Bookmark button
Alert button
Mar 01, 2024
Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli

Viaarxiv icon

Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum

Add code
Bookmark button
Alert button
Nov 30, 2023
Riccardo Zaccone, Carlo Masone, Marco Ciccone

Viaarxiv icon

From Charts to Atlas: Merging Latent Spaces into One

Add code
Bookmark button
Alert button
Nov 11, 2023
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

Viaarxiv icon

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning

Add code
Bookmark button
Alert button
Oct 10, 2023
Debora Caldarola, Barbara Caputo, Marco Ciccone

Viaarxiv icon

FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving

Add code
Bookmark button
Alert button
Sep 23, 2023
Eros Fanì, Marco Ciccone, Barbara Caputo

Figure 1 for FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Figure 2 for FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Figure 3 for FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Figure 4 for FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Viaarxiv icon

Schedule-Robust Online Continual Learning

Add code
Bookmark button
Alert button
Oct 11, 2022
Ruohan Wang, Marco Ciccone, Giulia Luise, Massimiliano Pontil, Andrew Yapp, Carlo Ciliberto

Figure 1 for Schedule-Robust Online Continual Learning
Figure 2 for Schedule-Robust Online Continual Learning
Figure 3 for Schedule-Robust Online Continual Learning
Figure 4 for Schedule-Robust Online Continual Learning
Viaarxiv icon

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning

Add code
Bookmark button
Alert button
Oct 05, 2022
Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo

Figure 1 for Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Figure 2 for Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Figure 3 for Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Figure 4 for Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Viaarxiv icon

A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving

Add code
Bookmark button
Alert button
Jun 18, 2022
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti

Figure 1 for A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Figure 2 for A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Figure 3 for A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Figure 4 for A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Viaarxiv icon

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead

Add code
Bookmark button
Alert button
May 28, 2022
Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech

Figure 1 for Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Figure 2 for Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Figure 3 for Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Figure 4 for Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Viaarxiv icon

Improving Generalization in Federated Learning by Seeking Flat Minima

Add code
Bookmark button
Alert button
Mar 24, 2022
Debora Caldarola, Barbara Caputo, Marco Ciccone

Figure 1 for Improving Generalization in Federated Learning by Seeking Flat Minima
Figure 2 for Improving Generalization in Federated Learning by Seeking Flat Minima
Figure 3 for Improving Generalization in Federated Learning by Seeking Flat Minima
Figure 4 for Improving Generalization in Federated Learning by Seeking Flat Minima
Viaarxiv icon