Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.
In federated learning, there can be significant differences in the datasets of different participants, known as the data bias problem. Additionally, model updates need to be aggregated at the ...
Get the latest federal technology news delivered to your inbox. Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and ...
Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
With the growing interest in adopting best practices across IT departments, particularly according to standards such as the Information Technology Infrastructure Library (ITIL), many organizations are ...
Explore how Veerendra Nath transforms healthcare data systems with federated architectures, enhancing patient outcomes and ...
Sandia National Laboratories released information today spotlighting what the labs call a significant milestone in advancing artificial intelligence for national security. Over the past year, Sandia, ...
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Data leadership that drives real value
Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...
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