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 ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
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 ...
According to IEEE, the award “recognizes outstanding original papers published in IEEE/ACM Transactions on Networking or the IEEE Transactions on Network and Service Management” within the last three ...
In a recent study published in The Lancet Digital Health, a group of researchers developed and evaluated a scalable, privacy-preserving federated learning solution using low-cost microcomputing for ...
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Federated learning AI developed for hospitals and banks without personal information sharing
Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each ...
Learn everything about JWT claims in our complete guide. Master registered, public, and private claims for secure Enterprise SSO and CIAM solutions.
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