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Differential Privacy and Federated Learning with Python
00c Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
Source Files
01 How To Learn Online Effectively (13:46)
11 Differential Privacy Project
00 What Is Differential Privacy (7:18)
01 Differential Privacy Project Introduction (13:16)
02 Build An Initial Database (3:05)
03 Build A Parallel Database (4:04)
04 Build Multiple Parallel Databases (3:09)
05 Determine If Query Leaks Private Data (5:12)
06 Calculate Sensitivity Of Mean Query (6:29)
07 Build Local Differential Privacy (9:09)
Source Files
12 Deep Learning Differential Privacy Project
00 Deep Learning Differential Privacy Introduction (13:22)
01 Build Database (3:45)
02 Build A Differential Privacy Query (4:10)
03 Perform Pate Analysis (6:10)
Source Files
13 Build a Federated Learning Model
00 What Is Federated Learning (6:28)
01 Generate A Dataset (10:03)
02 Build A Regular Model (7:43)
03 Visualize Model Results (7:01)
04 Build A Client-Side Model (2:51)
05 Build An Aggregator Model (2:07)
06 Generate Clients Dataset (9:26)
07 Execute The Federated Learning Model (9:58)
08 Evaluate The Model (3:36)
Source Files
02 Build A Regular Model
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