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06/08/2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Federated Learning (FL) is a machine learning framework where many clien...
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10/31/2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
This paper focuses on Bayesian inference in a federated learning context...
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07/27/2022
Membership Inference Attacks via Adversarial Examples
The raise of machine learning and deep learning led to significant impro...
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06/11/2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Performing reliable Bayesian inference on a big data scale is becoming a...
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06/01/2021
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
Federated learning aims at conducting inference when data are decentrali...
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06/16/2020