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Found 3 papers, 1 papers with code
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume.
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control
Air traffic control is an example of a highly challenging operational problem that is readily amenable to human expertise augmentation via decision support technologies.
FASTER: Fusion AnalyticS for public Transport Event Response
Increasing urban concentration raises operational challenges that can benefit from integrated monitoring and decision support.
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