Table of Contents

Blueprint overview/Introduction

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<use case 2:Federated Learning in Data Gathering>

Deep learning is a promising way in aiding medical treatment and diagnosis, but an effective model requires quite large amounts of different data to converge.  And the lack of sufficient training data is the biggest obstacle to developing AI models for medical applications.

Federated learning provides a safe tunnel across different medical institutions like hospitals and clinics,  so that they can use train their own AI model with the data from multi-sources and without worry about the law issues and privacy problem with the help of Federated learning.

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Many cloud native monitoring applications are used to collect container/node resource usage and running log, like prometheus, elasticsearch.

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Software Management: Gerrit Repo

Licensing

• Apache 2.0 license