These demos are meant to showcase the Nevermined Federated Learning capabilities that leverages the Data In-Situ Computation capabilities to bring a model to the data so that the data can remain private.
You can find the instructions of how to run the demos from the READMEs in each demo individual folders:
- House Prices: Keras + Xaynet FL framework
- Creditcard Fraud Sherpa: scikit-learn + Sherpa FL framework
- Creditcard Fraud Xaynet: scikit-learn + Xaynet FL framework
- Image Classification Flower: Keras + Flower FL framework
This project is based in the Ocean Protocol Barge. It keeps the same Apache v2 License and adds some improvements.
This project includes
keras_house_prices
example software developed by XAIN.
Copyright 2020 Keyko GmbH
This product includes software developed at
BigchainDB GmbH, Ocean Protocol (https://www.oceanprotocol.com/),
XAIN (https://www.xain.io/), Adap (https://adap.com/en), and sherpa.ai (https://sherpa.ai/).
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.