A traffic-estimation framework that combines mutual-information-based provider selection with a penalty-based supervision game to make vertical federated learning reliable.
Vertical federated learning: Concepts, advances, and challenges,
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A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms
A traffic-estimation framework that combines mutual-information-based provider selection with a penalty-based supervision game to make vertical federated learning reliable.