Although federated learning is often seen as a promising solution to allow AI innovation while addressing privacy concerns, we argue that this technology does not fix all underlying data ethics concerns. Benefiting from federated learning in digital health requires acknowledgement of its limitations.

中文翻译：

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联邦学习并不是数据伦理的灵丹妙药

尽管联邦学习通常被视为一种有前途的解决方案，可以在解决隐私问题的同时实现人工智能创新，但我们认为这项技术并不能解决所有潜在的数据伦理问题。要从数字健康领域的联邦学习中受益，需要承认其局限性。