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 a federated approach to ML .
We will go through some concrete examples that are already using this technique.
We will also understand the complexity behind handling the gradient descent process in federated deep learning techniques.
Outline/Structure of the Demonstration
How Traditional ML system works
Healthcare and ML - Data Access
Distributed Deep Learning without sharing RAW Data
Split Neural Network - Case Study
Split Neural Network for SAAS Applications
Learn the latest world of distributed deep learning techniques.
All Machine Learning Practitioners
Prerequisites for Attendees
Neural Network Fundamentals