Implementation of big AI models for wireless networks with collaborative edge computing L Zeng, S Ye, X Chen, Y Yang IEEE Wireless Communications 31 (3), 50-58, 2024 | 14 | 2024 |
Eco-fl: Adaptive federated learning with efficient edge collaborative pipeline training S Ye, L Zeng, Q Wu, K Luo, Q Fang, X Chen Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 12 | 2022 |
Asteroid: Resource-efficient hybrid pipeline parallelism for collaborative DNN training on heterogeneous edge devices S Ye, L Zeng, X Chu, G Xing, X Chen Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | 8 | 2024 |
Galaxy: A resource-efficient collaborative edge ai system for in-situ transformer inference S Ye, J Du, L Zeng, W Ou, X Chu, Y Lu, X Chen IEEE INFOCOM 2024-IEEE Conference on Computer Communications, 1001-1010, 2024 | 8 | 2024 |
Pluto and Charon: A time and memory efficient collaborative edge AI framework for personal LLMs fine-tuning B Ouyang, S Ye, L Zeng, T Qian, J Li, X Chen Proceedings of the 53rd International Conference on Parallel Processing, 762-771, 2024 | 3 | 2024 |
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence L Zeng, S Ye, X Chen, X Zhang, J Ren, J Tang, Y Yang, XS Shen IEEE Communications Surveys & Tutorials, 2025 | | 2025 |
Co-designing Transformer Architectures for Distributed Inference with Low Communication J Du, Y Wei, S Ye, J Jiang, X Chen, D Huang, Y Lu IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference Y Wei, S Ye, J Jiang, X Chen, D Huang, J Du, Y Lu 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |