Openfedllm: Training large language models on decentralized private data via federated learning R Ye, W Wang, J Chai, D Li, Z Li, Y Xu, Y Du, Y Wang, S Chen arXiv preprint arXiv:2402.06954, 2024 | 16 | 2024 |
Radar-based human activity classification with cyclostationarity Y Du, J Li, Z Li, R Yu, A Napolitano, F Fioranelli, J Le Kernec 2021 CIE International Conference on Radar (Radar), 1483-1487, 2021 | 8 | 2021 |
Radar‐based human activity recognition using denoising techniques to enhance classification accuracy R Yu, Y Du, J Li, A Napolitano, J Le Kernec IET Radar, Sonar & Navigation 18 (2), 277-293, 2024 | 2 | 2024 |
Fake it till make it: Federated learning with consensus-oriented generation R Ye, Y Du, Z Ni, S Chen, Y Wang arXiv preprint arXiv:2312.05966, 2023 | 1 | 2023 |
Enhancing Data Quality in Federated Fine-Tuning of Large Language Models W Zhao, Y Du, ND Lane, S Chen, Y Wang ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation …, 0 | 1 | |
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models R Ye, R Ge, X Zhu, J Chai, Y Du, Y Liu, Y Wang, S Chen arXiv preprint arXiv:2406.04845, 2024 | | 2024 |
A ViT Approach for Short-range Behaviour Recognition Using Radar Signals Y Du, B Li, J Li, F Fioranelli, J Le Kernec IEEE Radar Conference (RadarConf22), New York, NY, USA, 21-25 Mar 2022 …, 2022 | | 2022 |