An introduction to federated learning products and algorithms

preface

In this paper, the target

1. Briefly introduce the form of federated learning products

2. Briefly introduce the implementation process of sample fusion, feature engineering, model training and model prediction algorithm

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Disclaimer: No company codes are involved

How to quickly understand the internal operation mechanism of the algorithm

First, set up a set of independent operating environment (including WEB, Java, Python)

Then the page initiates Python guest and Host debugging step by step

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Overall access process

Combing the internal running process of algorithm with product interface

Sample fusion

interface

Select two training datasets

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Algorithm operation mechanism

Characteristics of the engineering

interface

Selective feature engineering IV

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Algorithm operation mechanism

Model training

interface

Algorithm operation mechanism

Model to predict

interface

1. Publish the model as a service and select partners to predict the sample set

2. Select a service and the initiator prediction sample set

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Algorithm operation mechanism

Afterword.

1. Mathematical operation formula corresponding to each algorithm will be deduced later

Take a look at the process of solving a real problem through math

To know and know why to go further

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