most citedFederated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data

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cs.DC2024

Disentangling data distribution for Federated Learning

Xinyuan Zhao, Hanlin Gu, Lixin Fan +2

Federated Learning (FL) facilitates collaborative training of a global model whose performance is boosted by private data owned by distributed clients, without compromising data pr…