Principles
Hands-On Federated Analytics
Welcome
Principles
1
Why federated analytics?
2
Federated analytics
3
Federated learning
4
Secure multiparty computation
Applications
5
Image classification
6
Text classiciation
7
Graph-based analytics
8
Private set intersection
Engineering
9
Composable data stack
10
Semantic interoperability
Future developments
11
The paradox of open
12
Data spaces and data solidarity
References
Principles
Where we lay out the principles and main concepts of federated analytics
We introduce the taxonomy.
We give toy examples to illustrate
Welcome
1
Why federated analytics?