3 citations · 9 across the 8 of their papers we have counts for
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stat.ML2022★ 2 cited
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
Vincent Plassier, Alain Durmus, Eric Moulines
This paper focuses on Bayesian inference in a federated learning context (FL). While several distributed MCMC algorithms have been proposed, few consider the specific limitations o…
cs.LG2022
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai, Elie Kadoche, Rémi Leluc +1
The raise of machine learning and deep learning led to significant improvement in several domains. This change is supported by both the dramatic rise in computation power and the c…