Eros Fanì

According to our database, Eros Fanì authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Training-Free Dynamic Upcycling of Expert Language Models.

Eros Fanì, Oguzhan Ersoy

CoRR, March, 2026

2025

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models.

Gergely Dániel Németh, Eros Fanì, Yeat Jeng Ng, Barbara Caputo, Miguel Angel Lozano, Nuria Oliver, Novi Quadrianto

CoRR, April, 2025

Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers.

Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

IEEE Access, 2025

Interaction-Aware Gaussian Weighting for Clustered Federated Learning.

Alessandro Licciardi, Davide Leo, Eros Fanì, Barbara Caputo, Marco Ciccone

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers.

Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Collaborative Visual Place Recognition through Federated Learning.

Mattia Dutto, Gabriele Moreno Berton, Debora Caldarola, Eros Fanì, Gabriele Trivigno, Carlo Masone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Eros Fanì, Marco Ciccone, Barbara Caputo

CoRR, 2023

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

Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving.

Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022