How Federated Learning is Changing the Healthcare Landscape | Intel Business

Опубликовано 27 сентября 2021, 17:59

Federated learning is relatively new, but it stands to have a huge impact on the machine learning landscape, especially as it applies to healthcare. On today’s episode of What That Means, Camille is joined by Olga Perepelkina, PhD, a Deep Learning Product Manager at Intel, to find out exactly how this field is projected to change the world.

Want to hear the whole episode? Listen here: cybersecurityinside.libsyn.com...

For more resources, check out these links:

OpenFL: Intel opensource federated learning library github.com/intel/openfl

Federated Learning in Medicine: A Nature paper nature.com/articles/s41598-020...

Intel Federated Learning Slack: join.slack.com/t/openfl/shared...

You’ll learn:

- What federated learning is and why it matters
- How it’s helping to protect sensitive data
- Which components of the federated learning model are vulnerable to cyberattacks, as well as possible solutions to boost security
- And more!

Check it out!

#federatedlearning #cybersecurity #machinlearning #AI

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If you are interested in emerging threats, new technologies, or best tips and practices in cybersecurity, please follow the Cyber Security Inside podcast on your favorite podcast platforms.

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Follow our hosts Tom Garrison and Camille Morhardt:
Tom: @tommgarrison
Camille: @morhardt

Learn more about Intel Cybersecurity:
intel.com/content/www/us/en/se...

Intel Compute Life Cycle (CLA):
intel.com/content/www/us/en/se...

Federated Tumor Segmentation Challenge 2021:
fets-ai.github.io/Challenge

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How Federated Learning Is Changing the Healthcare Landscape | Intel Business
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