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20232026
most citedFedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

7 citations · 13 across the 10 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Holger R. Roth, Ziyue Xu, Peter Cnudde

Federated multimodal models often assume every site has every modality, although hospitals differ in access to EHRs, chest radiographs, and ECGs. We study this setting on a MIMIC-d…

cs.CV2024★ 1 cited

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge

Vishwesh Nath, Wenqi Li, Dong Yang +22

Generalist vision language models (VLMs) have made significant strides in computer vision, but they fall short in specialized fields like healthcare, where expert knowledge is esse…