Papers by Ivo De Souza Bueno Júnior
Privacy-Preserving Federated Learning for Hate Speech Detection (2025.naacl-srw)
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| Challenge: | a federated learning system with differential privacy is tailored to low-resource languages . data with fewer than 20 sentences per client struggled due to excessive noise . |
| Approach: | They propose a federated learning system with differential privacy for hate speech detection . they fine-tuned pre-trained language models to find it to be the most effective . |
| Outcome: | The proposed learning system outperforms other models in low-resource languages . balanced datasets and augmenting hateful data with non-hateful examples proved critical . |