AI RESEARCH
FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models
arXiv CS.AI
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ArXi:2605.28347v1 Announce Type: new Multi-Label Recognition (MLR) based on Vision-Language Models (VLMs) aims to leverage their pre-trained knowledge to better adapt complex recognition scenarios, thereby enhancing model robustness. However, for realistic decentralized applications requiring federated learning, adapting VLMs to each client that possesses private and heterogeneous data can cause the model to overfit spurious label correlations, consequently triggering irrelevant categories when encountering new samples.