Abstract: Decentralized Federated Learning (DFL) enables collaborative model training without a central server but faces challenges in efficiency, stability, and trustworthiness due to communication ...
Abstract: Achieving array performance comparable to a uniform array with a reduced number of array elements has the potential to greatly decrease costs and simplify array design. The enhanced matrix ...
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