GFL4BS uses zero-shot synthetic data generation and per-modality federated aggregation to improve beam-selection accuracy under label and modality imbalance.
Integrated Sensing and Com- munications (ISAC) for Vehicular Communication Networks (VCN),
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Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach
GFL4BS uses zero-shot synthetic data generation and per-modality federated aggregation to improve beam-selection accuracy under label and modality imbalance.