Principles
3
Federated learning
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
3
Federated learning
3
Federated learning
From peer-to-peer to client-server federated learning approaches
2
Federated analytics
4
Secure multiparty computation