mccorby/FederatedAndroidTrainer
See new version https://github.com/mccorby/PhotoLabeller
This project helps machine learning practitioners explore a naive federated learning setup, allowing them to train a model collaboratively across multiple Android devices. It takes small datasets and a defined model within each Android client, processes local model updates on a central server, and then distributes a new aggregated model back to the clients. Machine learning researchers, data scientists, and engineers interested in distributed AI for mobile devices would find this useful.
127 stars. No commits in the last 6 months.
Use this if you are a machine learning practitioner wanting to understand the basic mechanics and feasibility of training a neural network model directly on Android mobile devices using a federated learning approach.
Not ideal if you need a production-ready, secure, or highly scalable federated learning system with robust encryption and complex model serving capabilities.
Stars
127
Forks
27
Language
Java
License
MIT
Category
Last pushed
Apr 26, 2018
Commits (30d)
0
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