NCDSFL fixes output and auxiliary layer weights to neural collapse solutions to align clients in federated OFDM signal detection, converging faster than FedAvg in simulation, but the optimality theorem is invalid as written.
Application of machine learning in wireless networks: Key techniques and open issues,
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Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
NCDSFL fixes output and auxiliary layer weights to neural collapse solutions to align clients in federated OFDM signal detection, converging faster than FedAvg in simulation, but the optimality theorem is invalid as written.