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eess.SP2025
Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
Future wireless networks are expected to be AI-empowered, making their performance highly dependent on the quality of training datasets. However, physical-layer entities often obse…
eess.SP2024
Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
Federated Reinforcement Learning (FRL) offers a promising solution to various practical challenges in resource allocation for vehicle-to-everything (V2X) networks. However, the dat…