Open-Vocabulary Federated Learning with Multimodal Prototyping (2024.naacl-long)
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| Challenge: | Existing studies assume the label space of training data and test data is identical. |
| Approach: | They propose a framework for adaptation to a federated learning (FL) query that uses arbitrary unknown classes. |
| Outcome: | The proposed framework exploits the knowledge learned from seen classes and robustifies the adapted framework to unseen categories. |
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