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One-shot Federated Learning without Server-side Training

Federated Learning (FL) has recently made significant progress as a new machine learning paradigm for privacy protection. The authors propose a novel model aggregation method MA-Echo for one-shot FL.

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Cite this as

Shangchao Su, Bin Li, Xiangyang Xue (2025). Dataset: One-shot Federated Learning without Server-side Training. https://doi.org/10.57702/jqiy4hwm

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Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.1016/j.neunet.2023.04.035
Author	Shangchao Su
More Authors	Bin Li Xiangyang Xue