The latest article in the series on privacy-preserving federated learning, a collaboration between the UK Responsible Technology Adoption Unit (RTA) and the US National Institute of Standards and Technology (NIST), features insight from the Information Commissioner’s Office (ICO).
The article focuses on three key considerations for organisations looking to implement federated learning as a privacy-enhancing technology (PET).
- Conducting data protection impact assessments (DPIAs) can help determine whether PETs can mitigate the risks to individuals.
- Combining federated learning with other PETs to mitigate the risks you identify will help you meet the data protection by design obligation under the UK General Data Protection Regulation (GDPR) accountability principle.
- Assess the identifiability risk at each stage of the data lifecycle using a motivated intruder test.
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