FedCritic uses gossip-based federated critic averaging over the interference graph to enable decentralized execution for resource allocation in interference-coupled 6G networks, outperforming non-coordinated and CTDE baselines in simulations on SINR, cell-edge rate, sum-rate, and fairness.
An offline multi-agent reinforc ement learning framework for radio resource management,
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FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G
FedCritic uses gossip-based federated critic averaging over the interference graph to enable decentralized execution for resource allocation in interference-coupled 6G networks, outperforming non-coordinated and CTDE baselines in simulations on SINR, cell-edge rate, sum-rate, and fairness.