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Publication search results
found 18 matches
- 2023
- Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675 - Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta:
Coordinated Replay Sample Selection for Continual Federated Learning. EMNLP (Industry Track) 2023: 331-342 - Xinge Ma, Jiangming Liu, Jin Wang, Xuejie Zhang:
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models. EMNLP 2023: 8566-8577 - Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee:
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. EMNLP 2023: 11971-11988 - Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, Tanmay Sen:
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. EMNLP 2023: 16091-16103 - 2022
- Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. EMNLP (Findings) 2022: 4789-4799 - Deep Gandhi, Jash Mehta, Nirali Parekh, Karan Waghela, Lynette D'Mello, Zeerak Talat:
A Federated Approach to Predicting Emojis in Hindi Tweets. EMNLP 2022: 11951-11961 - KiYoon Yoo, Nojun Kwak:
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling. EMNLP 2022: 72-88 - Zhiyuan Zhang, Qi Su, Xu Sun:
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. EMNLP (Findings) 2022: 339-354 - Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu:
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP 2022: 6413-6425 - Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) 2022: 613-621 - 2021
- Han Qin, Guimin Chen, Yuanhe Tian, Yan Song:
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories. EMNLP (1) 2021: 3942-3954 - Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao:
Distantly Supervised Relation Extraction in Federated Settings. EMNLP (Findings) 2021: 569-583 - Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) 2021: 7676-7682 - Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) 2021: 2814-2824 - 2020
- Dianbo Sui, Yubo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun:
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. EMNLP (1) 2020: 2118-2128 - Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Jing Xiao:
Empirical Studies of Institutional Federated Learning For Natural Language Processing. EMNLP (Findings) 2020: 625-634
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