most citedWindow-based Model Averaging Improves Generalization in Heterogeneous Federated Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Collaborative Visual Place Recognition through Federated Learning

Mattia Dutto, Gabriele Berton, Debora Caldarola +3

Visual Place Recognition (VPR) aims to estimate the location of an image by treating it as a retrieval problem. VPR uses a database of geo-tagged images and leverages deep neural n…

cs.LG2023★ 1 cited

Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning

Debora Caldarola, Barbara Caputo, Marco Ciccone

Federated Learning (FL) aims to learn a global model from distributed users while protecting their privacy. However, when data are distributed heterogeneously the learning process…