Differential Privacy and Federated Learning with Python
01
Skill level
All levels
02
Sections
4
03
Lectures
27
04
Instructor
Team Mammoth
What's inside
This course includes.
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4
Sections
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27
Lectures
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27
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00c Mammoth Interactive Courses Introduction 3 lectures
00 About Mammoth Interactive
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01 How To Learn Online Effectively
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Source Files
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+ 01 Differential Privacy Project 9 lectures
00 What Is Differential Privacy
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01 Differential Privacy Project Introduction
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02 Build An Initial Database
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03 Build A Parallel Database
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04 Build Multiple Parallel Databases
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05 Determine If Query Leaks Private Data
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06 Calculate Sensitivity Of Mean Query
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07 Build Local Differential Privacy
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Source Files 11
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+ 02 Deep Learning Differential Privacy Project 5 lectures
00 Deep Learning Differential Privacy Introduction
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01 Build Database
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02 Build A Differential Privacy Query
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03 Perform Pate Analysis
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Source Files 12
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+ 03 Build a Federated Learning Model 10 lectures
00 What Is Federated Learning
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01 Generate A Dataset
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02 Build A Regular Model
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03 Visualize Model Results
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04 Build A Client-Side Model
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05 Build An Aggregator Model
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06 Generate Clients Dataset
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07 Execute The Federated Learning Model
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08 Evaluate The Model
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Source Files 13
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