12 citations
- Université Côte d'AzurFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- EURECOMFR2 papers
- Institut de Biologie ValroseFR2 papers
- University College LondonGB2 papers
- Accenture (Ireland)IE1 paper
- ARGO: Apprentissage, graphes et optimisation distribuéeFR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Florida State UniversityUS1 paper
- Harvard UniversityUS1 paper
- King's College LondonGB1 paper
10 papers
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Martin Van Waerebeke, Kevin Scaman +3
Machine Unlearning (MU) is an increasingly important topic in machine learning safety, aiming at removing the contribution of a given data point from a training procedure. Federate…
A geometric framework for asymptotic inference of principal subspaces in PCA
Dimbihery Rabenoro, Xavier Pennec
In this article, we develop an asymptotic method for constructing confidence regions for the set of all linear subspaces arising from PCA, from which we derive hypothesis tests on…
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
Yann Fraboni, Richard Vidal, Laetitia Kameni +1
We propose a novel framework to study asynchronous federated learning optimization with delays in gradient updates. Our theoretical framework extends the standard FedAvg aggregatio…
Privacy Preserving Image Registration
Riccardo Taiello, Melek Önen, Francesco Capano +2
Image registration is a key task in medical imaging applications, allowing to represent medical images in a common spatial reference frame. Current approaches to image registration…
Low-rank optimization methods based on projected projected-gradient descent that accumulate at Bouligand stationary points
Guillaume Olikier, Kyle A. Gallivan, P. -A. Absil
This paper considers the problem of minimizing a differentiable function with locally Lipschitz continuous gradient on the algebraic variety of real matrices of upper-bounded rank.…
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris +6
Joint registration of a stack of 2D histological sections to recover 3D structure (``3D histology reconstruction'') finds application in areas such as atlas building and validation…