Eros Fani'

Titolo della tesi

Addressing Heterogeneity in Federated Learning for Real-world Vision Applications

Argomento di ricerca

Analisi dell'Eterogeneità in Federated Learning per Applicazioni Realistiche in Computer Vision

Tutori

• Barbara Caputo

Presentazione della ricerca

Poster

• Outstanding Reviewer Award - EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV) 2924 (2024)

Corso di laurea magistrale

• Applicazioni Web I. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso

• Fani, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco (In stampa)
  Resource-Efficient Personalization in Federated Learning with Closed-Form Classifiers. In: IEEE ACCESS. ISSN 2169-3536
  Contributo su Rivista
• Fanì, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco (2024)
  Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. In: Forty-first International Conference on Machine Learning (ICML), Wien, Austria, July 21 - July 27, 2024, pp. 13029-13048. ISSN 2640-3498
  Contributo in Atti di Convegno (Proceeding)
• Dutto, Mattia; Berton, Gabriele; Caldarola, Debora; Fani, Eros; Trivigno, Gabriele; ... (2024)
  Collaborative Visual Place Recognition through Federated Learning. In: IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop, Seattle (USA), 17-18 June 2024, pp. 4215-4225. ISBN: 979-8-3503-6547-4
  Contributo in Atti di Convegno (Proceeding)
• Fani', Eros; Ciccone, Marco; Caputo, Barbara (2023)
  FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. In: 2023 I-RIM Conference, Roma (ITA), 20-22 ottobre 2023, pp. 81-84. ISBN: 9788894580549
  Contributo in Atti di Convegno (Proceeding)
• Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco (2023)
  Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models. In: Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, New Orleans, LA (USA), Dec 16 2023, pp. 1-19
  Contributo in Atti di Convegno (Proceeding)