output
20182022
most citedLearning a Probabilistic Model for Diffeomorphic Registration

250 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022 · cs.LGShow all

2 papers · 2 filters

cs.LG2022★ 4 cited

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…

cs.LG2022★ 11 cited

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…