A vertical federated learning algorithm that assigns more important features and larger local models to more reliable NWDAF clients reduces test loss by up to 18% over a dropout-robust baseline in simulated 5G core network settings.
Architecture enhancements for 5G system (5GS) to support network data analytics services,
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Reliable Vertical Federated Learning in 5G Core Network Architecture
A vertical federated learning algorithm that assigns more important features and larger local models to more reliable NWDAF clients reduces test loss by up to 18% over a dropout-robust baseline in simulated 5G core network settings.