most citedText-driven Prompt Generation for Vision-Language Models in Federated Learning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare

Xingyu Li, Lu Peng, Yuping Wang +1

This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) for advancing biome…

cs.CV2023★ 4 cited

Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi +4

Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution for federated learnin…