A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.
While this trade-off can be partially miti- gated by improved initialization of the dual multipliers [14], online dual updates remain necessary
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Graph Signal Diffusion Models for Wireless Resource Allocation
A graph-conditioned diffusion model learns to sample near-optimal wireless resource allocations by matching distributions from an expert primal-dual algorithm.