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Personalized Over-the-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces
Over-the-air federated learning (OTA-FL) provides bandwidth-efficient learning by leveraging the inherent superposition property of wireless channels.
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation
Online to offline recommendation strongly correlates with the user and service's spatiotemporal information, therefore calling for a higher degree of model personalization.
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