FeatureCloud 0.0.6

Secure Federated Learning Platform

FeatureCloud

FeatureCloud provides a privacy-preserving platform for federated learning and data analysis. Two major target groups who can benefit from FeatureCloud are researchers and developers. Any end-user who have data and want to join others in a federated collaboration can use FeatureCloud without worrying about privacy concerns. On the other hand, developers can quickly implement a federated app and publish it in FeatureCloud AI-store. Using FeatureCloud engine, developers can extend states to introduce new ones; for more information on developing apps, you can visit our GitHub repository. For registering and testing your apps or using other apps, please visit FeatureCloud.ai. And for more information about FeatureCloud architecture, please refer to The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond [1].

FeatureCloud Engine

The engine package in FeatureCloud introduces two major elements of app development: app and state. App class is responsible for registering states and transitions between them, verifying the app logic, and executing them. The app is a highly transparent component that requires minimum developers' familiarity. The second class, state, is where local computations carry on. Developers should insert their logic into states by assigning roles, adding, and taking transitions.

CLI

FeatureCloud provides a CLI to flexibly interact with the FeatureCloud controller, responsible for securely connecting collaborating clients in the FC platform. For more information about CLI, please visit our cli repository.

References

[1] Matschinske, J., Späth, J., Nasirigerdeh, R., Torkzadehmahani, R., Hartebrodt, A., Orbán, B., Fejér, S., Zolotareva, O., Bakhtiari, M., Bihari, B. and Bloice, M., 2021. The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. arXiv preprint arXiv:2105.05734.