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Found 2 papers, 1 papers with code
Can Public Large Language Models Help Private Cross-device Federated Learning?
We study (differentially) private federated learning (FL) of language models.
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Further, we propose a novel lightweight aggregation rule, Federated Gradient Projection ($\texttt{FedGP}$), which significantly improves the target performance with domain shift and data scarcity.
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