The Agencia Española de Protección de Datos, alongside the European Data Protection Supervisor, released a report advocating for federated learning as a method to enhance AI data protection. By training AI models locally on devices rather than transferring sensitive data to central servers, federated learning could significantly reduce privacy risks. The AEPD identifies healthcare, voice assistants, and autonomous vehicles as key sectors where this approach can be particularly beneficial, allowing for the development of AI technologies without compromising personal data security.
According to the AEPD's report, federated learning presents a significant opportunity to enhance data protection in AI applications, especially in sensitive sectors like healthcare.
The report highlights that federated learning allows AI models to be trained on personal devices, minimizing the risk of data breaches by eliminating the need for central data storage.
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