Nature

Federated Learning and Privacy Preservation

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.
ascopubs.org

Cloud-Based Federated Learning Implementation Across Medical Centers

Building External Control Arms From Patient-Level Electronic Health Record Data to Replicate the Randomized IMblaze370 Control Arm in Metastatic Colorectal Cancer Building well-performing machine ...
Forbes

The Future Of AI Privacy: How Federated Learning Is Revolutionizing Data Security

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...
VentureBeat

Major pharma companies, including Novartis and Merck, build federated learning platform for drug discovery

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Last June, 10 major pharmaceutical ...
EurekAlert!

Nature Medicine publishes breakthrough Owkin research on the first ever use of federated learning to train deep learning models on multiple hospitals’ histopathology data

In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning (FL) can be used to train deep learning models on data from ...
Devdiscourse

Decentralized AI models take over healthcare systems

The study, titled “The Decentralized AI Ecosystem in Healthcare: A Systematic Review of Technologies, Governance, and ...
EurekAlert!

New defense strategy for federated learning, capping accuracy loss at 0.47%

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...

Sigma360 and Consilient Announce Strategic Integration to Transform Financial Crime Detection with Federated Machine Learning Driven pKYC and Transaction Risk Monitoring

As financial crime and regulatory scrutiny intensify, the industry is moving beyond static, periodic reviews to continuous risk assessment. The Sigma360 and Consilient integration provides a ...
BizTech

Federated Machine Learning Gives Enterprises a Competitive AI Advantage

Historically, machine learning models have been trained by consolidating data from multiple sources into a centralized cloud server or data center and then training the model based on the combined ...
TechCrunch

Flower lands $3.6M to grow its platform for federated learning

The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...
InfoQ

Federated Machine Learning and Edge Systems

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...