FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
Federated multi-team CI/CD, modularized multi-repo metadata, team-based governance, and new schema registry with tracking let teams iterate independently while ensuring compliance with centralized ...
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 ...
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