Article

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review

2024-08-09

Abstract excerpt

Federated Learning (FL) has emerged as a promising solution to address the limitations of centralised machine learning (ML) in oncology, particularly in overcoming privacy concerns and harnessing the power of diverse, multi-center data. This systematic review synthesises current knowledge on the state-of-the-art FL in oncology, focusing on breast, lung, and prostate cancer. Distinct from previous surveys, our comp...

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Literature Corpus work: aeae7b6d-6086-5239-8fe4-c33f3c15c208
DOI: 10.1101/2024.08.08.24311681

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