Challenges in Implementing the Local Node Infrastructure for a National Federated Machine Learning Network in Radiology
Paul-Philipp Jacobs,
Constantin Ehrengut,
Andreas Michael Bucher
et al.
Abstract:Data-driven machine learning in medical research and diagnostics needs large-scale datasets curated by clinical experts. The generation of large datasets can be challenging in terms of resource consumption and time effort, while generalizability and validation of the developed models significantly benefit from variety in data sources. Training algorithms on smaller decentralized datasets through federated learning can reduce effort, but require the implementation of a specific and ambitious infrastructure to s… Show more
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