Federated AI for the enterprise: A web services based implementation
Many enterprise solutions can greatly benefit from Machine Learning (ML) models that are
created from cross-domain enterprise data. However, many enterprises cannot share data …
created from cross-domain enterprise data. However, many enterprises cannot share data …
Federated learning for coalition operations
Machine Learning in coalition settings requires combining insights available from data
assets and knowledge repositories distributed across multiple coalition partners. In tactical …
assets and knowledge repositories distributed across multiple coalition partners. In tactical …
[LIVRE][B] Federated AI for Real-World Business Scenarios
DC Verma - 2021 - taylorfrancis.com
This book provides an overview of Federated Learning and how it can be used to build real-
world AI-enabled applications. Real-world AI applications frequently have training data …
world AI-enabled applications. Real-world AI applications frequently have training data …
Towards data governance for federated machine learning
Abstract The application of Data Governance (DG) to Federated Machine Learning (FML)
could enable support for improving the quality of Machine Learning (ML) models produced …
could enable support for improving the quality of Machine Learning (ML) models produced …
Generative policy framework for ai training data curation
V Salapura, D Wood, SA Witherspoon… - … on Smart Computing …, 2019 - ieeexplore.ieee.org
Policy-based mechanisms are used to implement desired autonomic behavior of a managed
system in a distributed environment. For modern dynamically changing systems, policy …
system in a distributed environment. For modern dynamically changing systems, policy …