Federated learning (FL) has become a reality for many real-world applications. It enables multinational collaborations on a global scale to build more robust and generalizable machine learning and AI models. For more information, see Federated learning for predicting clinical outcomes in patients with COVID-19. NVIDIA FLARE v2.0 is an open-source FL SDK that is making it easier for data…

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AI requires massive amounts of data. This is particularly true for industries such as healthcare. For example, training an automatic tumor diagnostic system often requires a large database in order to capture the full spectrum of possible anatomies and pathological patterns. In order to build robust AI algorithms, hospitals and medical institutions often need to collaboratively share and combine…

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