Dongqi Cai

According to our database, Dongqi Cai authored at least 29 papers between 2021 and 2025.

Collaborative distances:

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

2025

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs.

Zhenyan Lu, Daliang Xu, Dongqi Cai, Zexi Li, Wei Liu, Fangming Liu, Shangguang Wang, Mengwei Xu

CoRR, June, 2025

Resource-efficient Algorithms and Systems of Foundation Models: A Survey.

Mengwei Xu, Dongqi Cai, Wangsong Yin, Shangguang Wang, Xin Jin, Xuanzhe Liu

ACM Comput. Surv., May, 2025

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?

Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane

CoRR, May, 2025

Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes.

Tao Qi, Jinhua Yin, Dongqi Cai, Yueqi Xie, Huili Wang, Hu Zhiyang, Peiru Yang, Guoshun Nan, Zhi-li Zhou, Shangguang Wang, Lingjuan Lyu, Yongfeng Huang, Nicholas Donald Lane

CoRR, March, 2025

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents.

Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DEPT: Decoupled Embeddings for Pre-training Language Models.

Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Demystifying Small Language Models for Edge Deployment.

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu, Jian Luan, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Accelerating Vertical Federated Learning.

Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang

IEEE Trans. Big Data, December, 2024

Photon: Federated LLM Pre-Training.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

Small Language Models: Survey, Measurements, and Insights.

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu

CoRR, 2024

Recall: Empowering Multimodal Embedding for Edge Devices.

Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Mengwei Xu

CoRR, 2024

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts.

Hanzi Mei, Dongqi Cai, Ao Zhou, Shangguang Wang, Mengwei Xu

CoRR, 2024

Lightweight Protection for Privacy in Offloaded Speech Understanding.

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.

Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

CoRR, 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

SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices.

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mobile Foundation Model as Firmware.

Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission.

Zeling Zhang, Dongqi Cai, Yiran Zhang, Mengwei Xu, Shangguang Wang, Ao Zhou

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.

Xiang Li, Zhenyan Lu, Dongqi Cai, Xiao Ma, Mengwei Xu

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023

Rethinking Mobile AI Ecosystem in the LLM Era.

Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

CoRR, 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

2021

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance.

Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021