Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
Abstract: To address the issue of genetic algorithm (GA) performance heavily relying on parameter selection, this paper introduces a double-layer loop adaptive parameter tuning mechanism. This ...
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