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20222026
most citedFederated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data

4 citations · 10 across the 7 of their papers we have counts for

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cs.LG2026

FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client

Gongxi Zhu, Hanlin Gu, Lixin Fan +2

One important direction of Federated Foundation Models (FedFMs) is leveraging data from small client models to enhance the performance of a large server-side foundation model. Exis…