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QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning.

, , , , и . CoRR, (2021)

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Vincent Tejedor

Vincent Kuhn

Vincent Saderne

Vincent Liebert

Vincent Kisselbach

 

Другие публикации лиц с тем же именем

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8577-8587. PMLR, (2021)Membership Inference Attacks via Adversarial Examples., , , и . CoRR, (2022)Risk bounds when learning infinitely many response functions by ordinary linear regression., , и . CoRR, (2020)Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms., , и . CoRR, (2022)DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm., , , и . CoRR, (2021)QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning., , , , и . CoRR, (2021)Efficient Conformal Prediction under Data Heterogeneity., , , , , , , , , и . CoRR, (2023)Conformal Prediction for Federated Uncertainty Quantification Under Label Shift., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 27907-27947. PMLR, (2023)QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning., , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 6459-6500. PMLR, (2022)Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 5299-5356. PMLR, (2023)