Papers by Zhenhou Hong
Empirical Studies of Institutional Federated Learning For Natural Language Processing (2020.findings-emnlp)
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| Challenge: | federated learning is a promising ideology to unite isolated datasets for machine learning problems. |
| Approach: | They propose to use federated natural language processing networks to train a popular NLP model with applications in sentence intent classification. |
| Outcome: | The proposed model is sensitive to imbalanced data load and tested against a federated model under imbalanced datasets. |