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One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...

Sid Roy is Manager of Machine Learning Engineering at Devron. Sid Roy is Manager of Machine Learning Engineering at Devron, a federated machine learning platform dedicated to unlocking the innovation ...

In this special guest feature, Gary M. Shiffman, PhD, Co-founder and CEO, Consilient, takes a look at Federated Machine Learning, the branch of machine learning that’s sure to be a revolution for FCC ...

Federated learning represents a paradigm shift in machine learning by enabling the collaborative training of models across multiple distributed nodes without requiring centralised data collection.

Editor’s note: This post from Duke’s Fuqua School of Business is the second article about the future of machine learning in WRAL TechWire’s regular “Deep Dive” feature. Earlier this month Deep Dive ...

PHILADELPHIA— Researchers at Penn Medicine and Intel Corporation led the largest-to-date global machine learning effort to securely aggregate knowledge from brain scans of 6,314 glioblastoma (GBM) ...

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...