Chapter 15. Deep learning on unseen data: introducing federated learning
In this chapter
- The problem of privacy in deep learning
- Federated learning
- Learning to detect spam
- Hacking into federated learning
- Secure aggregation
- Homomorphic encryption
- Homomorphically encrypted federated learning
“Friends don’t spy; true friendship is about privacy, too.”
Stephen King, Hearts in Atlantis (1999)
The problem of privacy in deep learning
Deep learning (and tools for it) often means you have access to y- your training data
As you’re keenly aware by now, deep learning, being a subfield of machine learning, is all about learning from data. But often, the data being learned from is incredibly personal. The most meaningful models interact with the most ...
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