Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
This paper introduces a generalized federated prompt-tuning framework for practical scenarios where local datasets are multi-modal and exhibit different distributional patterns of missing features at the input level. The proposed framework bridges the gap between federated learning and multi-modal p…