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H. Taleb

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Open access Aug 2026

FedGAT: Federated Graph Attention for User Association and Interference Mitigation in C-RAN

The joint user association and power allocation problem is formulated as a mixed-integer non-convex program and derive a graph neural network (GNN)-based continuous relaxation suitable for distributed training and a non-asymptotic convergence bound is obtained for non-identically distributed local interference graphs.

H. Taleb · 0 citations