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

4 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 3 cited

Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning

Xidong Wu, Wan-Yi Lin, Devin Willmott +4

Federated Learning (FL) is a distributed training paradigm that enables clients scattered across the world to cooperatively learn a global model without divulging confidential data…

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…