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Fedgcs: A generative framework for efficient client selection in federated learning via gradient-based optimization
Federated Learning faces significant challenges in statistical and system heterogeneity,
along with high energy consumption, necessitating efficient client selection strategies …
along with high energy consumption, necessitating efficient client selection strategies …