Privacy-Preserving Federated Learning for Healthcare Data

The question behind it

Can a hospital share what it learned without sharing its patients?

Health records are the most sensitive data there is, and anonymised releases have been re-identified before. This line of work releases the trained model instead of the data, and looks at federated learning, where the data never leaves the hospital.

A plain-language summary of this paper is on its way here. The full text will follow wherever the publisher permits me to host it.

Cite this paper

@incollection{sangeetha2023privacy,
  title   = {Privacy-Preserving Federated Learning for Healthcare Data},
  author  = {S Sangeetha},
  booktitle = {Privacy Preservation and Secured Data Storage in Cloud Computing, pp. 178-196 (book chapter)},
  year    = {2023},
  doi     = {10.4018/979-8-3693-0593-5.ch008},
  url     = {https://doi.org/10.4018/979-8-3693-0593-5.ch008},
}

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