Abstract: Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data.
Abstract: Sparse signal reconstruction methods for direction of arrival (DOA) estimation, such as sparse Bayesian learning (SBL), face the challenge of grid mismatch. Several off-grid DOA estimation ...
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