Behind the Hype: Federated Learning
Federated Learning is an approach that allows you to train a neural network model without holding client data physically in your hands. Using encryption, web sockets, and a few other tricks you can successfully access client data to train a model without ever seeing it.
- Adam Lieberman, Data Science & Machine Learning Lead, Finastra
- Brendon Machado, Data Scientist Intern, Finastra