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

Liam Collins, Shanshan Wu, Sewoong Oh +1

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 globa…