Concept
Loi d'Erlang
Publications associées (35)
Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data
Michael Christoph Gastpar, Aditya Pradeep
One major challenge in distributed learning is to efficiently learn for each client when the data across clients is heterogeneous or non iid (not independent or identically distributed). This provides a significant challenge as the data of the other client ...
2023Isotope Ratio - Discharge Relationships of Solutes Derived From Weathering Reactions
To date, the vast majority of studies seeking to link discharge to solute concentrations have been based on representations of fluid age distributions in watersheds that are time-invariant. As increasingly detailed spatial and temporal datasets become avai ...
New Haven2023Fluctuation estimates for the multi-cell formula in stochastic homogenization of partitions
In this paper we derive quantitative estimates in the context of stochastic homogenization for integral functionals defined on finite partitions, where the random surface integrand is assumed to be stationary. Requiring the integrand to satisfy in addition ...
2022