A MEC-hosted latent translation layer for heterogeneous AI agents is proposed and tested only with linear toy models, where it beats homogeneous synchronization at equal communication cost.
Efficient knowledge base synchro- nization in semantic communication network: A federated distillation approach,
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Heterogeneity-Aware Belief Synchronization for Semantic Communication in AI-Native 6G Networks
A MEC-hosted latent translation layer for heterogeneous AI agents is proposed and tested only with linear toy models, where it beats homogeneous synchronization at equal communication cost.