8 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
Dangerous Liaisons of Convex Learning and Non-Affine Aggregation
Thomas Boudou, Batiste Le Bars, Nirupam Gupta +1
Last-iterate convergence and generalization guarantees in first-order convex learning hinge on the monotonicity of the update operator. While linear averaging preserves the monoton…
Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings
Jean-Baptiste Fermanian, Batiste Le Bars, Aurélien Bellet
Personalized Federated Learning (PFL) enables a collection of agents to collaboratively learn individual models without sharing raw data. We propose a new PFL approach in which eac…
TAMIS: Tailored Membership Inference Attacks on Synthetic Data
Paul Andrey, Batiste Le Bars, Marc Tommasi
Membership Inference Attacks (MIA) enable to empirically assess the privacy of a machine learning algorithm. In this paper, we propose TAMIS, a novel MIA against differentially-pri…
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks
Batiste Le Bars, Argyris Kalogeratos
In this paper we consider the task of detecting abnormal communication volume occurring at node-level in communication networks. The signal of the communication activity is modeled…