Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling
To mitigate the scalability bottleneck in the radio access network (RAN) in federated edge learning (FEEL), over-the-air federated learning (AirFL) exploits waveform superposition over multiple-access channels (MACs) for analog model aggregation. However, coherent AirFL typically relies on stringent PHY-layer condition...
Hai-Feng Wen, Nicolò Michelusi, Osvaldo Simeone et al.
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