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update paper_list/FL-NLP #283

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19 changes: 15 additions & 4 deletions materials/paper_list/FL-NLP/README.md
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Expand Up @@ -5,6 +5,17 @@ This list is constantly being updated. Feel free to contribute!
### 2022
| Title | Venue | Link |
| --- | --- | --- |
| Federated Learning with Noisy User Feedback | NAACL | [pdf](https://aclanthology.org/2022.naacl-main.196.pdf) |
| Training Mixed-Domain Translation Models via Federated Learning | NAACL | [pdf](https://aclanthology.org/2022.naacl-main.186.pdf) |
| Pretrained Models for Multilingual Federated Learning| NAACL | [pdf](https://arxiv.org/pdf/2206.02291.pdf), [code](https://github.com/orionw/Multilingual-Federated-Learning) |
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks | NAACL Findings | [pdf](https://aclanthology.org/2022.findings-naacl.13.pdf), [code](https://github.com/FedML-AI/FedNLP) |
| Intrinsic Gradient Compression for Scalable and Efficient Federated Learning | ACL Workshop | [pdf](https://aclanthology.org/2022.fl4nlp-1.4.pdf) |
| Adaptive Differential Privacy for Language Model Training | ACL Workshop | [pdf](https://aclanthology.org/2022.fl4nlp-1.3.pdf), [code](https://github.com/flamewei123/ADP) |
| Scaling Language Model Size in Cross-Device Federated Learning | ACL Workshop | [pdf](https://aclanthology.org/2022.fl4nlp-1.2.pdf) |
| ActPerFL: Active Personalized Federated Learning | ACL Workshop | [pdf](https://aclanthology.org/2022.fl4nlp-1.1.pdf) |
| Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information | IJCNN | [pdf](https://arxiv.org/pdf/2205.13300.pdf) |
| Federated Split BERT for Heterogeneous Text Classification | IJCNN | [pdf](https://arxiv.org/pdf/2205.13299.pdf) |
| Federated Learning for Violence Incident Prediction in a Simulated Cross-institutional Psychiatric Setting | Expert Systems with Applications | [pdf](https://arxiv.org/pdf/2205.10234.pdf) |
| FedBERT: When Federated Learning Meets Pre-Training | TIST | [pdf](https://dl.acm.org/doi/pdf/10.1145/3510033) |
| FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding | WWW | [pdf](https://dl.acm.org/doi/pdf/10.1145/3485447.3511988) |

Expand All @@ -13,19 +24,19 @@ This list is constantly being updated. Feel free to contribute!
| Title | Venue | Link |
| --- | --- | --- |
| FedMatch: Federated Learning Over Heterogeneous Question Answering Data | CIKM | [pdf](https://dl.acm.org/doi/pdf/10.1145/3459637.3482345), [code](https://github.com/Chriskuei/FedMatch) |
| Federated Chinese Word Segmentation with Global Character Associations | ACL | [pdf](https://aclanthology.org/2021.findings-acl.376.pdf), [code](https://github.com/cuhksz-nlp/GCASeg) |
| Federated Chinese Word Segmentation with Global Character Associations | ACL Findings | [pdf](https://aclanthology.org/2021.findings-acl.376.pdf), [code](https://github.com/cuhksz-nlp/GCASeg) |
| Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories | EMNLP | [pdf](https://aclanthology.org/2021.emnlp-main.321.pdf), [code](https://github.com/cuhksz-nlp/ASA-TM) |
| A Secure and Efficient Federated Learning Framework for NLP | EMNLP | [pdf](https://aclanthology.org/2021.emnlp-main.606.pdf) |
| Distantly Supervised Relation Extraction in Federated Settings | EMNLP | [pdf](https://aclanthology.org/2021.findings-emnlp.52.pdf), [code](https://github.com/DianboWork/FedDS) |
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks | arXiv | [pdf](https://arxiv.org/pdf/2104.08815.pdf), [code](https://github.com/FedML-AI/FedNLP) |
| Distantly Supervised Relation Extraction in Federated Settings | EMNLP Findings | [pdf](https://aclanthology.org/2021.findings-emnlp.52.pdf), [code](https://github.com/DianboWork/FedDS) |
| Scaling Federated Learning for Fine-tuning of Large Language Models | arXiv | [pdf](https://arxiv.org/pdf/2102.00875.pdf) |


### 2020
| Title | Venue | Link |
| --- | --- | --- |
| Empirical Studies of Institutional Federated Learning For Natural Language Processing | EMNLP | [pdf](https://aclanthology.org/2020.findings-emnlp.55.pdf) |
| FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction | EMNLP | [pdf](https://aclanthology.org/2020.emnlp-main.165.pdf) |
| Empirical Studies of Institutional Federated Learning For Natural Language Processing | EMNLP Findings | [pdf](https://aclanthology.org/2020.findings-emnlp.55.pdf) |
| Federated Learning for Spoken Language Understanding | COLING | [pdf](https://aclanthology.org/2020.coling-main.310.pdf) |
| FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning | arXiv | [pdf](https://arxiv.org/pdf/2003.09288.pdf) |
| Federated Pretraining and Fine Tuning of BERT Using Clinical Notes from Multiple Silos | arXiv | [pdf](https://arxiv.org/pdf/2002.08562.pdf) |
| Pretraining Federated Text Models for Next Word Prediction | arXiv | [pdf](https://arxiv.org/pdf/2005.04828.pdf), [code](https://github.com/federated-learning-experiments/fl-text-models) |
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