REED enables unbiased noncoherent signed aggregation in OTA-FL via energy differences on orthogonal resources, achieving closed-form variance under Rayleigh fading and standard (1/sqrt(T)) convergence in FedAvg.
NCAirFL: CSI-free over-the-air federated learning based on non-coherent detection
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Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
REED enables unbiased noncoherent signed aggregation in OTA-FL via energy differences on orthogonal resources, achieving closed-form variance under Rayleigh fading and standard (1/sqrt(T)) convergence in FedAvg.