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FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
However, the clients' Non-Independent and Identically Distributed (Non-IID) data negatively affect the trained model, and clients with different numbers of local updates may cause significant gaps to the local gradients in each communication round.
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
It is developed to be a parametric, systematic, and scalable data generation framework.
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