D. Gunopulos

When Federated Prompt Learning Fails: Understanding and Mitigating Cross-Domain Prompt Interference.

Federated prompt learning (FPL) offers a parameter-efficient way to adapt large-scale vision-language models by collaboratively optimizing lightweight prompts across distributed clients. Existing approaches typically assume that prompts learned on heterogeneous domains can be safely aggregated. We show that this assump...