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This is a super interesting idea. How does it work with creating a better model? It would make sense if you train the model in series but is there a method to m
by syntaxing 8y ago
This is a super interesting idea. How does it work with creating a better model? It would make sense if you train the model in series but is there a method to merge(?) the models when it's trained in parallel?
- tylermac1 8y agoThere are many ways to combine results during training in a federated workflow. One method I'm currently using on healthcare imaging data is to simply average each client's weights after every epoch. My server gathers all client updates, averages the weights, and sends the new calculated wights back to the clients to continue training.
- syntaxing 8y agoThank you for the response! Do you know how well this method works compared to training on the whole dataset?