A constraint Bayesian optimization framework using Gaussian processes achieves 98% quality constraint satisfaction and over 45% latency reduction by online selection of per-user compression ratios and rates in multi-user semantic video reconstruction.
Learning task-oriented communication for edge inference: an information bottleneck approach
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Reliable Online Resource Allocation for Multi-User Semantic Communications: A Constraint Bayesian Optimization Approach
A constraint Bayesian optimization framework using Gaussian processes achieves 98% quality constraint satisfaction and over 45% latency reduction by online selection of per-user compression ratios and rates in multi-user semantic video reconstruction.