10 citations · 11 across the 3 of their papers we have counts for
5 papers
Statistical limits of correlation detection in trees
Luca Ganassali, Laurent Massoulié, Guilhem Semerjian
In this paper we address the problem of testing whether two observed trees are sampled either independently or from a joint distribution under which they are correlated. T…
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Edwige Cyffers, Mathieu Even, Aurélien Bellet +1
Decentralized optimization is increasingly popular in machine learning for its scalability and efficiency. Intuitively, it should also provide better privacy guarantees, as nodes o…
Sample Optimality and All-for-all Strategies in Personalized Federated and Collaborative Learning
Mathieu Even, Laurent Massoulié, Kevin Scaman
In personalized Federated Learning, each member of a potentially large set of agents aims to train a model minimizing its loss function averaged over its local data distribution. W…
Accelerating Abelian Random Walks with Hyperbolic Dynamics
Bastien Dubail, Laurent Massoulié
Given integers , we consider affine random walks on torii defined as , where $A \in \mathrm{…
Spectral Alignment of Correlated Gaussian matrices
Luca Ganassali, Marc Lelarge, Laurent Massoulié
In this paper we analyze a simple spectral method (EIG1) for the problem of matrix alignment, consisting in aligning their leading eigenvectors: given two matrices and , we…