FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng T ang Y onggang Zhang Peijie Dong Yiu-ming Cheung Amelie Chi Zhou Bo Han

Neural Information Processing Systems 

One-shot Federated Learning (OFL) significantly reduces communication costs in FL by aggregating trained models only once. However, the performance of advanced OFL methods is far behind the normal FL.

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