Abstract: In-X Subnetworks (SNs) face significant challenges in meeting extremely heterogeneous requirements due to interference resulting from dynamic mobility, hyper-dense deployment, and limited ...
Abstract: Federated learning (FL) is a privacy-preserving alternative to centralized machine learning, where model training is performed on local devices and only global model updates are shared, ...
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