Yaozong Wu

According to our database, Yaozong Wu authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Communication-Efficient Satellite-Ground Federated Learning Through Progressive Weight Quantization.

Chen Yang, Jinliang Yuan, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu

IEEE Trans. Mob. Comput., September, 2024

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.

Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

2023

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.

Mengwei Xu, Yaozong Wu, Dongqi Cai, Xiang Li, Shangguang Wang

CoRR, 2023

Federated Few-Shot Learning for Mobile NLP.

Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Efficient Federated Learning for Modern NLP.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Towards Practical Few-shot Federated NLP.

Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

FedAdapter: Efficient Federated Learning for Mobile NLP.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Mengwei Xu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

Federated NLP in Few-shot Scenarios.

Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts.

Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022

AutoFedNLP: An efficient FedNLP framework.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022