Introduces REED as a noncoherent primitive for signed aggregation in OTA-FL using paired resource-element energies, with exact first- and second-moment derivations under Rayleigh fading and a chip-diverse extension.
Broadband analog aggregation for low-latency federated edge learning
2 Pith papers cite this work. Polarity classification is still indexing.
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An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.
citing papers explorer
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Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
Introduces REED as a noncoherent primitive for signed aggregation in OTA-FL using paired resource-element energies, with exact first- and second-moment derivations under Rayleigh fading and a chip-diverse extension.
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Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
An optimal convex-reformulated power control algorithm is derived for signal-level integrated sensing, computing and communication in AirComp-based federated learning under a joint target detection constraint.