Suraj Prasad

Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)

Existing federated prompt learning methods for vision-language models like CLIP rely solely on text-based prompts and final-layer visual features, missing crucial multiscale visual details and client-specific style variations. This limits generalization across non-IID distributions and novel classes