DrivenData Labs

MARCH 30, 2023

Our framework involves three key components: (1) model personalization for capturing data heterogeneity across data silos, (2) local noisy gradient descent for silo-specific, node-level differential privacy in contact graphs, and (3) model mean-regularization to balance privacy-heterogeneity trade-offs and minimize the loss of accuracy.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

DrivenData Labs

SEPTEMBER 10, 2024

The Mex-Cog 2016 and 2021 studies are an in-depth cognitive assessment applied to a subsample of age 55 and older from MHAS 2015 and MHAS 2018. Dr. Reid also teaches Data Science at the University of California at Berkeley. MHAS is a national sample of adults aged 50 and over in Mexico from a broad socioeconomic perspective.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

Alation

MARCH 28, 2023

These cover managing and protecting cloud data, migrating it securely to the cloud, and harnessing automation and technology for optimised data management. Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit.

Data Silos 52

Data Silos Data Quality Cloud Data Data Governance 52

Alation

FEBRUARY 1, 2022

And those who practice these “old school” governance methods have little confidence in their efficacy: 73% of Ventana research participants stated that spreadsheets were a data governance concern for their organization, while 59% viewed incompatible tools as the top barrier to a single source of truth. Subscribe to Alation's Blog.

Data Lakes 52

Data Lakes Data Governance ML ML 52