Federated Deep Learning in SAAS Applications
ML in Saas Applications becomes exceedingly difficult due to lack to access to customer data. The Customer Data is locked down with no outside access and it presents a huge problem to do ML on this data in a traditional way. The focus of this presentation is to provide alternate solutions to do ML in a distributed fashion.
We will focus on Split Neural Networks - a relatively new distributed ML Technique to solve Data Access issues with a SAAS Application.
We will walk through the motivations behind Split Neural Network approach to ML .
We will go through some concrete examples that are already using this technique.
Outline/Structure of the Demonstration
Machine Learning and Privacy
(Anonymous, Obfuscated, Encrypted) DATA !
Privacy and ML – Techniques
Machine Learning at Healthcare and SAAS applications
Split Neural Network – Introduction
SAAS Use Case – Anomaly Detection
Split NN to rescue
Learning Outcome
Learn the latest world of distributed deep learning techniques.
Target Audience
All Machine Learning Practitioners
Prerequisites for Attendees
Neural Network Fundamentals
Links
schedule Submitted 1 year ago
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