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Attention-aware Semantic Communications for Collaborative Inference
In our framework, the lightweight ViT model on the edge device acts as a semantic encoder, efficiently identifying and selecting the crucial image information required for the classification task.
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net
Federated learning (FL) is a distributed method to train a global model over a set of local clients while keeping data localized.
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