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FedSCCS: Hierarchical Clustering with Multiple Models for ...
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由 GU Talasso 著作2024被引用 2 次 — This paper introduces FedSCCS, an FL-based framework designed for such heterogeneous settings. FedSCCS clusters devices based on the similarity of their models.
FedSCCS: Hierarchical Clustering with Multiple Models for ...
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由 GU Talasso 著作2024被引用 2 次 — Clustered Federated. Learning (CFL) [6] is a cluster-based solution that uses the similarity between the client's model to split them into clusters to improve ...
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FedSCCS: Hierarchical Clustering with Multiple Models for ...
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2024年9月28日 — Request PDF | On Jun 9, 2024, Gabriel U. Talasso and others published FedSCCS: Hierarchical Clustering with Multiple Models for Federated ...
Work presented at the IEEE International Conference ... - H.IAAC
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2024年6月14日 — Scholarship student Gabriel Ukstin Talasso, from Meta 3 – Distributed Learning, presented the work entitled “FedSCCS: Hierarchical Clustering with Multiple ...
Cluster selection for Clustered Federated Learning using ...
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由 P Raveen Bandara Harasgama 著作2022 — In this approach, the cluster selection for clustered federated learning is a major factor that affects the effectiveness of the global model. This research ...
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Day 2 | IEEE International Conference on Communications
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FedSCCS: Hierarchical Clustering with Multiple Models for Federated Learning. Gabriel Talasso (University of Campinas, Brazil); Allan M. de Souza (UNICAMP ...
Gabriel Ukstin Talasso
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FedSCCS: hierarchical clustering with multiple models for federated learning. GU Talasso, AM de Souza, LF Bittencourt, E Cerqueira, AAF Loureiro, ...
Federated learning with hierarchical clustering of local ...
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由 C Briggs 著作2020被引用 708 次 — In this work we present a modification to FL by introducing a hierarchical clustering step (FL+HC) to separate clusters of clients by the similarity of their ...
Allan Mariano de Souza
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Adaptive Fit Fraction Based on Model Performance Evolution in Federated Learning ... FedSCCS: Hierarchical Clustering with Multiple Models for Federated Learning.
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Trabalho apresentado na conferência IEEE International ...
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2024年6月14日 — O aluno bolsista Gabriel Ukstin Talasso, da Meta 3 – Aprendizado Distribuído, apresentou o trabalho intitulado “FedSCCS: Hierarchical ...
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