Yaozong Wu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Language Models For Information Retrieval

Textual Entailment

Top Venues

IEEE Trans. Mob. Comput.

Publications

Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang
FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. USENIX ATC (2024)
Chen Yang, Jinliang Yuan, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu
Communication-Efficient Satellite-Ground Federated Learning Through Progressive Weight Quantization. IEEE Trans. Mob. Comput. 23 (9) (2024)
Dongqi Cai, Yaozong Wu, Shangguang Wang, Mengwei Xu
FedAdapter: Efficient Federated Learning for Mobile NLP. ACM TUR-C (2023)
Mengwei Xu, Yaozong Wu, Dongqi Cai, Xiang Li, Shangguang Wang
Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices. CoRR (2023)
Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu
Federated Few-Shot Learning for Mobile NLP. MobiCom (2023)
Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
Towards Practical Few-shot Federated NLP. EuroMLSys@EuroSys (2023)
Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
Efficient Federated Learning for Modern NLP. MobiCom (2023)
Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. CoRR (2022)
Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
AutoFedNLP: An efficient FedNLP framework. CoRR (2022)
Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu
Federated NLP in Few-shot Scenarios. CoRR (2022)