A client selection rule based on L4-norm cosine similarity and a rotation queue improves federated learning accuracy modestly over three baselines on CIFAR-10 and Fashion-MNIST.
Oort: Efficient federated learning via guided participant selection,
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PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning
A client selection rule based on L4-norm cosine similarity and a rotation queue improves federated learning accuracy modestly over three baselines on CIFAR-10 and Fashion-MNIST.