Speakers:
Sandra Carrasco Limeros
https://www.linkedin.com/in/sandra-carrasco-limeros/

Sylwia Majchrowska
https://www.linkedin.com/in/sylwia-majchrowska/

https://www.ai.se/en

/"A key challenge in developing Sweden's AI capacity is the handling of sensitive data. Succeeding in the use of sensitive data is a prerequisite for AI to have an impact in healthcare and other sectors of society dealing with information that deserves protection or information that can provide protection. At the same time, the development of AI models often requires large amounts of both deep and broad data. Current data storage structures in Sweden are significantly fragmented and the possibilities for data sharing are limited due to the current law, even for good analytical purposes.

We therefore propose a multi-party project that aims to learn how technology can create the conditions for data sharing in practice. Sahlgrenska Hospital, Region Halland and AI Sweden have decided to lead an initiative to put Federated Learning into practice. For this use case, we used the SIIM-ISIC 2020 dataset and performed two main tasks. First, the detection of melanoma, and second, the generation of images of skin lesions./"

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