Shanshan Wu

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning

2023 · arXiv (Cornell University)

In many applications of federated learning (FL), clients desire models that are personalized using their local data, yet are also robust in the sense that they retain general global knowledge. However, the presence of data …