most citedAdvances and Open Challenges in Federated Foundation Models

5 citations · 5 across the 4 of their papers we have counts for

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cs.CL2026

Toward Federated Large Language Models in Medicine: A Parameter-Efficient Framework for Privacy-Preserving, Multi-Institutional Adaptation

Anran Li, Yuanyuan Chen, Wenjun Long +16

Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints…