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Money Laundering Finally Meets Its Match – Federated Learning Will Change the Game
July 4, 2023 by
In this contributed article, Laurence Hamilton, Chief Commercical Officer, Consilient, discusses the next generation federated learning solution for financial crime detection. Such a solution will help enable banks and other financial institutions to detect high-risk entities and behaviors by sharing insights across different data environments and organizations.
What Is Federated Learning in Health Care? And How Should Health IT Teams Prepare?
January 2, 2023 by
In this contributed article, Ittai Dayan, co-founder and CEO of Rhino Health, believes that while traditional machine learning has huge potential for medical researchers, its major shortcoming is the vast amount of centralized data collection that’s required, and the privacy issues this creates. Federated learning has been suggested as a potential solution to this problem. This is a novel ML technique that is able to access data held across numerous decentralized servers (such as data held by individual hospitals), with the data never leaving these servers and remaining completely anonymous.
The Three Variations of Supercomputing Cloud Technologies
September 8, 2022 by
“Cloud computing” is one of the most overloaded terms in the history of information technology. Yes, there is the NIST Definition of Cloud Computing that many will point to, but the sheer number of adaptations of models for “enabling ubiquitous, convenient, on-demand” access to computing resources knows no limit. In this sponsored post, our friends at Atos provide three major and very different types of issues and found that a common technology thread worked across the board. In fact, they also learned that while the models are different, organizations often benefit from more than one.
Using AI to Identify Brain Tumors with Federated Learning
May 11, 2020 by
Researchers at Intel Labs and the Perelman School of Medicine are using privacy-preserving technique called federated learning to train AI models that identify brain tumors. With federated learning, research institutions can collaborate on deep learning projects without sharing patient data. “AI shows great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full potential,” said Jason Martin, principal engineer at Intel Labs.
