arXiv (All)
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A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
Federated learning (FL) has gained wide popularity as a collaborative learning paradigm allowing collaborative Artificial Intelligence (AI) in sensitive healthcare applications. Nevertheless, the practical implementation of FL presents technical and organizational challenges, as it generally require
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