Efficient federated learning for modern nlp D Cai, Y Wu, S Wang, FX Lin, M Xu Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 30* | 2023 |
A Survey of Resource-efficient LLM and Multimodal Foundation Models M Xu, W Yin, D Cai, R Yi, D Xu, Q Wang, B Wu, Y Zhao, C Yang, S Wang, ... arXiv preprint arXiv:2401.08092, 2024 | 15 | 2024 |
Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices M Xu, Y Wu, D Cai, X Li, S Wang arXiv preprint arXiv:2308.13894, 2023 | 12 | 2023 |
Towards ubiquitous learning: A first measurement of on-device training performance D Cai, Q Wang, Y Liu, Y Liu, S Wang, M Xu Proceedings of the 5th International Workshop on Embedded and Mobile Deep …, 2021 | 12 | 2021 |
Federated few-shot learning for mobile NLP D Cai, S Wang, Y Wu, FX Lin, M Xu Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 11* | 2023 |
Implementation of an E-payment security evaluation system based on quantum blind computing DQ Cai, X Chen, YH Han, X Yi, JP Jia, C Cao, L Fan International Journal of Theoretical Physics 59 (9), 2757-2772, 2020 | 11 | 2020 |
Rethinking Mobile AI Ecosystem in the LLM Era J Yuan, C Yang, D Cai, S Wang, X Yuan, Z Zhang, X Li, D Zhang, H Mei, ... arXiv preprint arXiv:2308.14363, 2023 | 8 | 2023 |
Towards Practical Few-shot Federated NLP D Cai, Y Wu, H Yuan, S Wang, FX Lin, M Xu Proceedings of the 3rd Workshop on Machine Learning and Systems, 42-48, 2023 | 8* | 2023 |
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission Z Zhang, D Cai, Y Zhang, M Xu, S Wang, A Zhou Proceedings of the 4th Workshop on Machine Learning and Systems, 126-133, 2024 | | 2024 |
A Survey of Backpropagation-free Training For LLMS H Mei, D Cai, Y Wu, S Wang, M Xu Authorea Preprints, 2024 | | 2024 |
Mitigating App Collusion using Machine Learning X Duan, H Lu, J Yuan, Q Zhang, D Cai 2021 IEEE 7th International Conference on Big Data Intelligence and …, 2021 | | 2021 |