Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

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Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

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FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

Z Ning, C Tian, M Xiao, W Fan, P Wang, L Li… - arXiv preprint arXiv …, 2024 - arxiv.org

Federated Learning faces significant challenges in statistical and system heterogeneity,
along with high energy consumption, necessitating efficient client selection strategies …

被引用次数：2 相关文章所有 2 个版本

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Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

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